ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Artificial intelligence can help improve healthcare in several ways:
1. It can help doctors make more accurate diagnoses by analyzing large amounts of medical data.
2. AI is already being used in areas like radiology to identify diseases in medical images.
3. It shows promise in personalized treatment recommendations by analyzing individual patient data.
4. In the future, AI may be able to perform some medical tasks like surgery more precisely than humans.
Artificial intelligence has great potential applications in public health by analyzing large health datasets to provide insights on disease determinants and shape public health policies. AI technologies like machine learning, computer vision, and deep learning can be used for epidemic prediction, disease screening, diagnostics, telemedicine, and drug discovery by analyzing medical records, images, genetic data, and more. However, AI in public health is still in its early stages and faces challenges regarding data quality, transparency, bias, regulatory issues, and replacing human jobs. Principles for ethical AI development include prioritizing human well-being, transparency, accountability, and non-discrimination. Overall, AI shows promise to transform public health when developed collaboratively with human experts.
artificial intelligence in health care. how it is different from traditional techniques. growth of artificial intelligence. how hospitals are taping artificial intelligence to mange corona virus. pros and cons of artificial intelligence.
Artificial intelligence can be used in many areas of the pharmaceutical industry. It can help identify diseases, personalize treatment, assist with drug discovery and manufacturing, improve clinical trials, and aid radiology and radiotherapy. Some challenges remain around fully replicating human intelligence and creativity. However, AI is being applied successfully in areas like analyzing medical images and optimizing drug development processes. Many major pharmaceutical companies are investing in partnerships to further apply AI.
Gleecus Whitepaper : Applications of Artificial Intelligence in HealthcareSuprit Patra
This document discusses how artificial intelligence is transforming the healthcare industry. It begins with an overview of AI and its applications in healthcare, such as analyzing treatment outcomes. It then explores several specific uses of AI like robot-assisted surgery, virtual nursing assistance, administrative workflow assistance, fraud detection, and clinical trial participation. Additional applications covered include image recognition and analysis, health monitoring, and challenges of AI implementation. The document concludes that AI has great potential to improve healthcare outcomes and efficiency through accelerated diagnosis, treatment and reduced costs.
1- AI has achieved high sensitivity of 91-94% and specificity of 96-100% in detecting lung cancer from chest radiography images, demonstrating its ability to support medical imaging analysis.
2- While AI will not replace medical professionals, it can serve as a tool to assist clinicians by analyzing large amounts of data, aiding clinical decisions, and improving outcomes. Primary care physicians may use AI for tasks like note-taking and presenting insights into patients' needs.
3- For AI to be implemented responsibly, its development must address issues like privacy, bias, and transparency to avoid harmful consequences and build trust with clinicians and the public. Collaboration between technology developers and civil society can help ensure AI is developed and applied
The document discusses 10 key uses of AI in healthcare, including image analysis to detect diseases like diabetic retinopathy, natural language processing to extract and analyze unstructured data from medical records, and machine learning applications in cancer detection, clinical trials, robotic surgeries, patient monitoring, hospital management, and more. AI is increasingly being used across the healthcare industry to improve patient outcomes, increase efficiency and reduce costs.
IntelAI Enhancing Healthcare with Advanced Data AnalysisFit Focus Hub
IntelAI is at the forefront of transforming healthcare through advanced data analysis, leveraging the power of artificial intelligence (AI) to revolutionize the industry.
By harnessing cutting-edge technologies and computational capabilities, IntelAI is paving the way for a new era of healthcare that is more precise, efficient, and patient-centered.
One of the key contributions of IntelAI in healthcare lies in its ability to analyze vast volumes of healthcare data with unprecedented speed and accuracy.
Through sophisticated machine learning algorithms and deep learning models, IntelAI can extract meaningful insights from diverse datasets, ranging from medical imaging and genetic information to electronic health records.
This advanced data analysis is instrumental in improving diagnostics, enabling earlier detection of diseases, and enhancing treatment planning.
IntelAI's impact extends beyond diagnostics to personalized medicine, where it plays a crucial role in tailoring treatments to individual patients.
By deciphering complex patterns within patient data, IntelAI assists healthcare professionals in developing customized and targeted therapies.
This not only optimizes treatment outcomes but also minimizes adverse effects, marking a significant stride towards more effective and patient-specific healthcare solutions.
In the realm of operational efficiency, IntelAI is streamlining healthcare processes. Predictive analytics and data-driven insights support healthcare providers in optimizing resource allocation, improving workflow management, and enhancing overall efficiency within healthcare organizations.
This, in turn, contributes to a more streamlined and patient-centric healthcare experience.
IntelAI's applications extend to drug discovery and development, where it accelerates the identification of potential candidates and enhances the efficiency of the drug development pipeline.
By analyzing vast datasets and predicting the efficacy of potential drugs, IntelAI is contributing to more rapid and cost-effective drug discovery, ultimately leading to the development of novel and targeted therapeutic interventions.
Moreover, IntelAI is facilitating a paradigm shift in patient engagement through technologies like virtual health assistants and remote patient monitoring.
These AI-driven solutions offer continuous support, personalized health information, and remote monitoring capabilities, empowering patients to actively participate in their healthcare journey and promoting proactive health management.
In summary, IntelAI is playing a pivotal role in enhancing healthcare through advanced data analysis. By leveraging AI technologies, Intel is contributing to improved diagnostics, personalized medicine, operational efficiency, and drug discovery.
Medical Device Development and Prototyping in San Jose.pdfAlexander Sprauve
Machine learning, a form of artificial intelligence (AI), allows computers to learn from data, identify patterns, and make decisions without being explicitly programmed. It also allows large quantities of data to be processed quickly, paving the way for fast, creative solutions to complex problems.
Existing Machine Learning Technologies
Machine learning is nothing new. Several technologies implement it, many of which we use every day.
Spam filters
Grammar checkers
Chatbots
Machine learning accounts for human-like thinking from machines that allows them to perform several tasks.
Understanding and interpreting words written or verbal written or spoken
Cars that drive themselves
Object and image recognition
Image creation
Coding
Although the application of machine learning and AI to technology is still preliminary, the technology has already been applied to medical device development. Use cases include:
Identifying potential drug targets.
Revealing disease markers.
Diagnosing and treating illnesses.
Aiding in surgical settings.
ADVANCEMENTS IN MACHINE LEARNING LEAD TO MEDICAL DEVICE INNOVATION
As machine learning advances, the medical device development industry stands to benefit exponentially. Advanced AI-powered systems could detect diseases earlier and more precisely and provide individualized treatments that help doctors make educated decisions for each patient's unique needs. Furthermore, machine learning can also identify patterns in patient data that may result in new medical discoveries and further breakthroughs.
MEDICAL DEVICE DEVELOPMENT COMPANIES AND MACHINE LEARNING
While medical device development companies like Speck Design are not responsible for the algorithms and coding used in machine learning, the products we create often rely on its implementation. ML is fast becoming the industry standard. The most significant innovations in medical device development will almost exclusively include machine learning at their core. Some of the most cutting-edge medical device technologies already incorporate it. Read about a few of those technologies in this white paper.
This document discusses artificial intelligence and its applications in the pharmaceutical industry. It begins with definitions of artificial intelligence and its goal of simulating human logic and reasoning. It then describes several applications of AI in pharmaceuticals, including disease identification, personalized treatment, drug discovery/manufacturing, clinical trial research, radiology/radiotherapy, and electronic health records. Challenges and the future of AI are also mentioned. In conclusion, the author states that AI has great potential to guide humanity if developed responsibly.
Artificial intelligence in medicine (projeck)YasserAli152984
The document discusses various uses of artificial intelligence in medicine, including disease detection, diagnostics, scientific experiments, surgery robots, and cancer detection. It notes that AI has made progress in areas like analyzing large datasets, aiding physicians, and automating administrative tasks. However, the integration of human and AI is seen as key to revolutionizing healthcare.
CLGPPT FOR DISEASE DETECTION PRESENTATIONYashRajput82
This document summarizes a project presentation submitted by three group members - Aanchal Rastogi, Kapil Gangwar, and Shahnavaj - to their department of computer science engineering on the topic of "Disease Prognostication & Prevention Using Soft Computing". The presentation includes an introduction, explanations of artificial intelligence and machine learning, the problem statement, evolution of the topic, challenges and limitations, implementations, future work, and a conclusion.
Artificial intelligence dr bhanu ppt 13 09-2020BhanuSagar3
The document discusses a webinar on using artificial intelligence to advance pharmacy and healthcare in India. It will take place on September 13, 2020 from 2-3 pm, hosted by Prof. Bhanu P. S. Sagar. The webinar will cover the history of medical innovations using AI, how AI is applied in various fields like natural language processing and machine learning. It will also discuss the advantages of AI, such as reducing errors and facilitating difficult tasks. The types and applications of AI technology in the pharmaceutical industry will also be presented.
Artificial intelligence has great potential to revolutionize healthcare. It can help predict ICU transfers and hospital readmissions by identifying at-risk patients from their medical data. AI is also used in medical testing through new methods like bloodless blood testing using smartphone ECGs. It improves clinical workflows by reducing physician burnout through tools like vein finders. AI helps prevent infections by monitoring patients for early signs of sepsis or other healthcare-acquired infections. During the COVID-19 pandemic, AI has assisted with tracking and forecasting outbreaks, diagnosing patients, processing health claims, and developing new drugs to treat the virus.
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30 – Hours Yogic Sukshma Vyayama Teacher Training Course
What is Sukshma Yoga?
Dhirendra Brahmachari formulated this system and wrote books to clearly formulate the ancient yogic science. This practice simple yet powerful series of specific exercises that improve health and enhance the strength of different organs and systems in the body, from top of head to toes.
Suksma means subtle prana, mind, and intellect: Vyayama means exercise. Suksma Vyayama is meant for the Subtle Body (Suksma Sarira), it is not meant for the Sthula Sarira (Gross Physical Body).
Need of Suksma Vyayama
In yoga, it is said that most pranic blockages start in our joints. Ayurveda says that ‘ama’ or the toxic and undigested waste material tends to settle in the empty spaces of our body, the joints. To remove these impurities we practice Suksma Vyayama, to release any such impurities in our subtle pranic body.
Three dimension of suksma Vyayama:
1.Breathing (slow or fast: Bhastrika/Bellows)
2.Point of concentration (mental concentration on Chakras)
3.Exercise (using Bandhas and Mudras)
Sukshma yoga purifies and recharges the body, mind, energy, and emotion. It prepares the well foundation for further means of Yoga practice. It includes Sukshma Vyayama (Subtle Exercise), and Vishram (Rest & Relaxation). It is itself complete package that fulfills the basic need of human being.
Sukshma Vyayama is one of the major parts for physical activity and the regulation of entire physiologies. Sukshma Vyayama is also known as a kind of warm up exercise or basic exercise or clinically anti-rheumatic group of exercise and also called body scan. The system of the physical and breathing exercise which help to sequentially work out all joints of a body, to warm it up. This system has a strong purifying effect on energy body of a human.
1.1. History of Sukshma Vyayama
We will observe visible Parampara of Sukshma Vyayama. Literal meaning of Parampara is the continuous chain of succession by Master to followers. In Parampara system, the knowledge is passed on without changes from generation to generation). Unfortunately because of the absence of enough information we are not able to find sources of this tradition.
System of Sukshma Vyayama knowledge which was unknown in the west before that was extended by one of outstanding yoga masters, Dhirendra Brahmachari (1925-1994). He received Initiation into Sukshma Vyayama techniques from Maharshi Kartikeya, the prophet and sacred great yogi who was his Master. In the preface to the book “Yogic Sukshma Vyayama” Dhirendra Brahmachari wrote about his precious Guru. Deep knowledge made him the unique expert of human characters, of their abilities and possibilities. From Maharshi Kartikeya, Dhirendra Brahmachari received a precept to spread knowledge about Sukshma Vyayama. The invaluable merit of Dhirendra Brahmachari is that he managed to accumulate knowledge in the convenient form, to make it open and understandable for the audience everywhere. The b
TheHistroke 340B Program Solutions | TheHistrokeTheHistroke
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Our team is aware of the challenges you face, and we want to simplify the process for you and your partners. We do this by developing solutions to enable compliant management and oversight of the highly complex 340B program.
With 340B program knowledge, we are focused on completing 340B program audit, prescription compliance, claims audit software, 340B AI assistant, and data analytics and reporting solutions.
Holistic nursing Primacy of nature in the healing process.pptxraima10
HOLISTIC NURSING
Holistic nursing is a way of treating and taking care the patient as a whole body which involves physical, social environment, psychological, cultural and religious beliefs.
Role of Physiotherapy management in lumbar canal stenosis.Anjali Rana
Lumbar canal stenosis is a narrowing of the spinal canal in the lower back, often causing compression of nerves and resulting in pain, numbness, or weakness in the legs. This condition typically develops gradually, impacting mobility and quality of life, necessitating tailored medical management or surgical intervention for relief.
The Importance of Gratitude in Daily Life.pptxMartaLoveguard
Prezentacja - The Importance of Gratitude in Daily Life
Slide 1: Introduction
Welcome to the presentation on the importance of gratitude in daily life. Today, we'll explore how cultivating gratitude can significantly impact our mental, emotional, and physical well-being.
Slide 2: What is Gratitude?
Gratitude is the practice of acknowledging and appreciating the good things in our lives, big and small. It involves recognizing the positive aspects of our experiences, relationships, and circumstances rather than focusing solely on what's lacking or negative. Cultivating gratitude involves a mindset shift towards abundance and appreciation.
Slide 3: Psychological Benefits
Gratitude plays a crucial role in enhancing mental health by reducing negative emotions such as envy, resentment, and frustration. Research indicates that practicing gratitude promotes more positive emotions like happiness and satisfaction with life. Studies have shown that gratitude can lead to improved overall well-being and a greater sense of fulfillment.
Slide 4: Emotional Resilience
Gratitude fosters emotional resilience by helping individuals cope with stress and adversity more effectively. It encourages a mindset that focuses on solutions and growth rather than dwelling on problems. By finding reasons to be grateful even in challenging times, individuals can develop resilience and maintain a positive outlook.
Slide 5: Social Benefits
Expressing gratitude strengthens relationships by fostering feelings of connection and appreciation. When we show gratitude towards others, it deepens our bonds and encourages reciprocity in kindness and support. Gratitude also enhances empathy and compassion, leading to more meaningful social interactions.
Slide 6: Physical Health Benefits
Gratitude isn't just beneficial for mental and emotional well-being; it also impacts physical health. Research suggests that grateful individuals may experience better sleep, reduced inflammation, and improved immune function. Adopting a grateful mindset can contribute to overall holistic health and well-being.
Slide 7: Cultivating Gratitude
There are practical ways to cultivate gratitude in daily life. Keeping a gratitude journal, where you write down things you're thankful for each day, can help reinforce positive emotions. Additionally, expressing gratitude to others through thank-you notes or verbal appreciation can strengthen relationships and increase overall happiness.
Slide 8: Conclusion
In conclusion, integrating gratitude into our daily routines can lead to profound positive changes in our lives. By focusing on what we are thankful for, we shift our perspective towards abundance and possibilities. Embracing gratitude empowers us to live more fully and joyfully, enhancing both our personal well-being and the quality of our relationships.
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50 Hr – Hatha-Vinyasa Yoga Teacher Training Course
50 hours – Hatha-Vinyasa Yoga Teacher Training Course
Course Fee: INR 32,000 for Indian citizens only, for foreigners USD 350.
Yoga Manual (01)
Certificate
Excluded with accommodation and food
Upcoming Batches 50 Hr Non-Residential (Week-Days/Week-End)
Professional Yoga Teacher Training
Our 50 hours Yoga Teachers Training Course Hatha-Vinyasa Yoga Teacher Training Course is beautifully programmed for those enthusiasts who desire to have a professional certificate in the future but can’t afford the time of two months in one slot.
If you have less time or you want to learn slowly, so 50-hour yoga teacher training course in Bangalore can be the perfect yoga course for you, karuna yoga offers a self-paced yoga teacher training course in Bangalore India, and you can join the other half in 1 year of time to complete 200/300 hours Teacher Training Course.
In order to obtain a professional certificate of 200/300 Hour, Teachers Training Course affiliated with Yoga alliance one has to complete the 200 Hours which is usually completed in one or two months of time, we designed this course in such a way that if any participant wants to first get introduced with the way and process of professional yoga teacher training course and have only short time then students can enroll for this yoga course.
Our 50 hours Yoga Teacher Training Course program runs along with our regular student of 200/300-hour Teacher Training Course students in the first phase, upon completion of the course if a student wants to finish remaining their balance of 150/250 hours of Teacher Training Course in the future, then students can continue the course of the second stage of Teacher Training Course to obtain 200/300-hour Teacher Training Course certificate affiliated with Yoga Alliance in order to have a professional certificate.
Our 50 hours can be accepted as continuing education from Yoga Alliance if in the future you want to continue the training from our center. Please make a note while completing 50 hour TTC you will be only provided with a certificate issued by our organization and the certificate will not be affiliated with Yoga Alliance, and only after completion of the second stage of balance 150/250 hours of TTC, which technically becomes 200/300 hours in total of training, we will issue the certificate of 200/300-hour Teacher Training Course.
Karuna Yoga Vidya Peetham is a Registered Yoga teacher training school in Bangalore, India with an affiliation of Yoga Alliance, USA which offers 50 Hour Yoga Teacher Training in Bangalore, India. If you look forward to the course then this is the best choice.
International Certification
Upon successful completion of the course, you will receive a certificate of completion of the 20 hour Hatha Yoga course, that you can count towards your continuing education. Our yoga teacher training courses are accredited by Yoga Alliance USA.
Pre-requisites:
This course is open to all student
21. Alignment for Advanced Yoga Asana
The advance asanas that are taught during various asana classes throughout the duration of the teacher training are brought up for analytical discussions and practical sessions of methods to adjust advance postures with both verbal cues and hands-on adjustments. Learning revolves around demonstrations, observation and practicums by assisting the lead instructors during some advanced yoga classes. Students will demonstrate observe and assist lead instructors in adjusting in a basic yoga class.
Learning Objective
Be able to identify misalignments of advance postures. Be able to observe student’s capacity during adjustments. Be able to safely and gently adjust advance postures with verbal cues and with hands-on adjustments. To provide adjusting and assisting techniques of yoga asana class.
Revolutionize Pain Management with Almagia’s PEMF Devices Shop Now.pptxALMAGIA INTERNATIONAL
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Mudra & Pranayama Certificate Course
Online/Offline 12 Hrs – Mudra & Pranayama Certificate Course
12 hours – Mudra and Pranayama Certificate Course
What is Yoga Continuing Education Courses (YACEP)
We offer various training programs to deepen knowledge and improve teaching skills through various yoga teacher training courses. Continuing education is a post-learning, formal learning program for yoga practitioners that can have credit courses as well as non-credit courses. These courses are intended to allow an individual to extend their insight and develop their abilities in a particular field. Numerous callings even expect individuals to take up Continuing Education to have the option to recharge their permit and seek after their training.
Continuing education in yoga mainly serves two purposes
To deepen your existing knowledge and skills.
To teach you new skills and techniques related to teaching yoga.
Yoga Alliance Registered Continuing Education Provider, Courses Open to Everyone.
This course is eligible for Continued Education (CE) credits with Yoga Alliance. It is accredited by Yoga Alliance and it can be used as a continuing education course (YACEP) for Register Yoga Teachers with Yoga Alliance
Deepen your practice and your knowledge
Are you are yoga professional or a curious practitioner and wish to deepen your yoga knowledge and techniques? Then a continuing education course may be something for you! You will learn selected specialized yoga topics that will allow you to expand your horizons when it comes to your personal practice or that of your students. With the knowledge you will acquire, you will gain a deeper understanding of the functioning of anatomical and energetic body layers, and develop a more complete insight into yoga.
International Certification
Upon successful completion of the course, you will receive a certificate of completion of the Mudra and Pranayama Certificate Course, which you can count towards your continuing education. Our yoga teacher training courses are accredited by Yoga Alliance USA.
About the course facilitator
Dr. S. Karuna Murthy, M.Sc., Ph.D., E-RYT 500, YACEP
Dr. S. Karuna Murthy is one of the most experienced Yogi practicing the ancient and the greatest Yoga tradition since he was 18 years of age. Following in the footsteps of his inspiration Swami Sivananda who was also the founder of Divine Life Society, has mastered the ancient Yoga traditions that only a few in this world are familiar with.
He completed M. Sc from Swami Vivekananda Yoga Anusandhana Samasthana University and Ph. D from Bharathidasan University. Besides, Dr. S. Karuna Murthy has also completed TTC and ATTC and is registered E-RYT-500 with American Yoga Alliance. Those qualifications depict his expertise in the context of Yoga and mastering Yoga Teaching methodology.
With the immense interest to serve the people with the ancient Yoga techniques, he also served as a Yoga therapist at S-VYASA, Bangalore. He has also served as a Yoga
5 Must-Have’s in ePCR Software for a More PROFITABLE and EFFICIENT EMS, NEM...Traumasoft LLC
The benefits of an ePCR solution should extend to the whole EMS & NEMT organization, not just certain groups of people or certain departments.
It should benefit EMS crews – making it convenient to enter data and have the tools to increase document accuracy.
It should benefit the back-office by streamlining documentation and billing processes internally and with health facilities.
It should benefit the entire organization by improving workflow efficiency, comply with regulations, reduce costs, and contribute to generating data-driven reports.
To achieve those benefits, ePCR software must have these 5 functions.
Online Live Personal Yoga Training at Home
Home Yoga
Change is Possible!
I am ready to help you, to improve your health, reduce stress and moving towards perfect peace, happiness and joy!
Show you the difference between intentional self-care and unintentional numbing out, so that you can be fully awake for all of your life
Restore your natural physical alignment, because it is critical to your health and well-being
Help you develop a practice of intentional surrender because it brings relief from stress and will improve every aspect of your life
Show you how to take care of yourself because that is the first step toward the connection you are craving with others
Restore your mind-body connection, because decision-making is so much easier when you can hear your own intuition
Home yoga course contents
The private yoga lesson consists of Power Yoga, Dynamic Yoga, Yoga Therapy for different ailments, Yoga for stress management, yoga posture (asana), yogic breathing (pranayama), guided meditation and relaxation. Sometimes the cleansing practices like Vamana Dhouti (vomiting), Jala & Sutra Neti (nasal cleaning), Laghu Sankhaprakshalana (intestine cleansing), vyutkarma & sheetkarma kapalabhati (nasal cleansing), Trataka (eye cleansing) and MSRT (immune system enhancement) are also included depending on the requirement of the participant
If you are looking for a secluded, silent, one-on-one yoga practice with personal care and attention and without any outside disturbances, private yoga lessons are perfect for you. In private yoga lessons, you save your time and energy from traveling to a distance yoga studio and practice yoga from the comfort of your home in a personal ambiance. In private yoga lessons, you learn properly with one-on-one attention from the yoga trainer. The yoga trainer also gets enough time to understand your requirements and customizes the yoga practices accordingly for your maximum health benefit.
If you are suffering from any specific health problems, private yoga lessons are ideal for you. Yoga therapy practices cannot be done in a group, it has to be done always one-on-one basis. Because your problem is different from others. In a group yoga class, the yoga practices are not addressed according to your body conditions & requirements, some of the practices in the group might be harmful to you. Moreover, if the group yoga trainer is not a qualified yoga therapist but only a yoga instructor, he may not know the yoga practices that are useful and harmful to you. Therefore, if you are suffering from any specific health conditions, you require private yoga lessons with one-on-one attention from an experienced yoga therapist for your recovery.
How many people can join in private yoga lessons?
We allow one or, maximum of two people at a time in a private yoga lesson.
Private yoga course contents
The private yoga lesson consists of Power Yoga, Dynamic Yoga, Yoga Therapy for different ailments, Yoga for stress management, yoga post
2. Contents
• Introduction &
Terminologies
01
• History
02
• Artificial Intelligence in
Nepal
05
04 • Acceptance and scope of AI
in the World
• Conclusion
06
• Advancement around the Globe
in Health and Public health
03
2
3. In computer science, artificial intelligence (AI),
sometimes called machine intelligence,
is intelligence demonstrated by machines, in contrast
to the natural intelligence displayed by humans and
animals.
The term "artificial intelligence" is used to describe
machines that mimic "cognitive" functions that
humans associate with other human minds, such as
"learning" and "problem solving".
Introduction
3
4. Terminologies
• Algorithms: An algorithm is a set of unambiguous instructions that
a mechanical computer can execute. Many AI algorithms are capable
of learning from data and can themselves write other algorithms.
• Machine learning: It is an application/subfield of artificial
intelligence (AI) that provides systems the ability to automatically
learn and improve from experience without being explicitly
programmed.
4
5. Neural networks: Artificial neural networks (ANN) are
computing systems vaguely inspired by the biological neural
networks and nodes called artificial neurons. Each connection,
like the synapses in a biological brain, can transmit a signal from
one artificial neuron to another.
Data mining: It is the practice of examining large pre-existing
databases in order to generate new information.
Cloud technologies: Cloud computing refers to the use of a
network of remote servers to store, manage, access and process
data rather than a single personal computer or hard drive.
5/20/2024 5
Terminologies contd…
6. Weak AI (narrow AI) – non-sentient machine intelligence, typically
focused on a narrow task.
Strong AI / artificial general intelligence (AGI) – machine with the
ability to apply intelligence to any problem, rather than just one
specific problem, typically meaning "at least as smart as a typical
human".
Superintelligence –artificial intelligence far surpassing that of the
brightest and most gifted human minds. Due to recursive self-
improvement, superintelligence is expected to be a rapid outcome of
creating artificial general intelligence.
Types of artificial intelligence
6
7. Artificial Intelligence in automated driverless cars
https://www.popsci.com/self-driving-cars-cities-usa
7
8. Artificial intelligence, weather data, and sensors to give farmers insights on plowing,
planting, spraying, and harvesting.
Automatic Recognition of
Ripening Tomatoes by artificial
intelligence
8
9. Artificial Intelligence in Factories
Japan ranked fourth in the world: In 2016, 303 robots
were installed per 10,000 employees in the
manufacturing industry.
9
11. Timeline of AI in health
Term coined by John
McCarthy. Founded as an
academic discipline in
1956 in US.
1955 Growth of microcomputer and
new levels of network
connectivity. AI systems in
healthcare was designed to
accommodate the absence of
perfect data and build on the
expertise of physicians.
1980s-1990s
• Genomic sequencing
databases
• AI in electronic health
record systems
• Natural language
processing and computer
vision,
• Robot-assisted surgery, etc
2010-2019
•Discovery and
development of
drugs
•Preclinical research
•Personalized Health
Care
•And many more
2019 & onwards
Produced first problem-
solving program, or expert
system, known as Dendral
assisting to identifying
bacteria and
recommending antibiotics
1960-1970
11
14. No longer science fiction, AI and robotics are
transforming healthcare
No longer science fiction, AI is transforming
healthcare
14
15. Get a modern PowerPoint Presentation that is beautifully designed. I hope and I believe that
this Template will your Time.
M A C H I N E L E A R N I N G
Role of Artificial Intelligence in Health
Technology applications and apps encourage healthier
behaviour in individuals and help with the proactive
management of a healthy lifestyle.
Additionally, AI increases the ability for healthcare
professionals to better understand the day-to-day patterns and
needs of the people they care, for better feedback, guidance and
support.
Health Monitoring: Tools to Support Interventions and
Healthy Behaviors:
Wearable health trackers – like those from FitBit, Apple,
Garmin and others – monitors heart rate and activity levels.
They can send alerts to the user to get more exercise and can
share this information to doctors. 15
16. Medical chatbots can offer relevant high-quality information,
reassurance, answers, and ways of thinking about the situation related to
human behaviour.
16
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M A C H I N E L E A R N I N G
Role of Artificial Intelligence in Health
AI is already being used to detect diseases, such as cancer,
more accurately and in their early stages.
According to the American Cancer Society, a high proportion
of mammograms yield false results, leading to 1 in 2 healthy
women being told they have cancer. The use of AI is enabling
review and translation of mammograms 30 times faster with
99% accuracy, reducing the need for unnecessary biopsies[1].
Google’s DeepMind Health is working in partnership with
clinicians, researchers and patients to solving and detecting
real-world healthcare problems.
[1] Wired (2016). http://www.wired.co.uk/article/cancer-risk-ai-mammograms
17
18. Using AI for digital retinopathy screening will allow non-clinicians to be
trained on retinal imaging, obtaining interpretation of the images within
minutes and thus giving patients instant feedback.
18
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M A C H I N E L E A R N I N G
Role of Artificial Intelligence in Health
IBM’s Watson for Health is helping healthcare organizations
review and store far more medical information – every medical
journal, symptom, and case study of treatment and response
around the world – exponentially faster than any human.
Medical Imaging:
Machine learning algorithms can process unimaginable amounts of
information in the blink of an eye and provide more precise than
humans in spotting even the smallest detail in medical imaging.
The company Zebra Medical Vision developed a new platform
called Profound, which analyze of all types of medical imaging
reports that is able to find every sign of potential conditions such
as osteoporosis, breast cancer, aortic aneurysms and many more
with a 90 percent accuracy rate.
19
20. The AI train a convolutional neural networks
(CNNs) using a dataset of 1,29,450 clinical
images to classify a type of cancer.
20
21. M A C H I N E L E A R N I N G
Role of Artificial Intelligence in Health
Improving care requires the alignment of big health data with
appropriate and timely decisions, and predictive analytics can
support clinical decision-making and actions as well as
prioritise administrative tasks.
Digital Consultation
For example, the digital health firm HealthTap developed “Dr.
A.I.,” and apps like Babylon in the UK use AI to give medical
consultation based on personal medical history and common
medical knowledge. Users report their symptoms into the app,
which uses speech recognition to compare against a database of
illnesses and asks patients to specify symptoms to triage whether
they should go to the ED, urgent care, or a primary care doctor.
21
22. In todays world health emergencies are numerous and medical personnel are limited.
This study has designed a consciousness index to substitute the factor by manpower and
improved the classification accuracy (triage) by applying a machine learning algorithm.
22
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M A C H I N E L E A R N I N G
Role of AI in Health
Treatment Design
Artificial intelligence systems have been created to analyze data –
notes and reports from a patient’s file, external research, and
clinical expertise – to help select the correct, individually
customized treatment path.
Precision Medicine
Instead of developing treatments for populations and making the
same medical decisions based on a few similar physical
characteristics among patients, medicine has shifted toward
prevention, personalization, and precision.
Genetics and genomics look for mutations and links to disease
from the information in DNA. With the help of AI, body scans can
spot cancer and vascular diseases early and predict the health
issues people might face based on their genetics.
22
24. These technologies such as genomics, biotechnology, wearable sensors,
or artificial intelligence (AI) are gradually leading to three major
directions. They have been (1) making patients the point-of-care; (2)
created a vast amount of data that require advanced analytics; and (3)
made the foundation of precision medicine.
24
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M A C H I N E L E A R N I N G
Role of Artificial Intelligence in Health
We are living much longer than previous generations, and as we
approach the end of life, we are dying in a different and slower
way, from conditions like dementia, heart failure and
osteoporosis. It is also a phase of life that is often plagued by
loneliness.
AI have ‘conversations’ and other social interactions with people
to keep aging minds sharp.
Medication Management: Improving client adherence
The National Institutes of Health have created the AiCure app to
monitor the use of medication by a patient. A smartphone’s
webcam is partnered with AI to autonomously confirm that
patients are taking their prescriptions and helps them manage
their condition.
24
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M A C H I N E L E A R N I N G
Role of AI in Health
26
Research on Molecular epidemiology:
Recently, the greatest statistical computational challenge in
molecular epidemiology is to identify and characterize the genes
that interact with other genes and environment factors that bring
the effect on complex multifactorial disease.
This phenomenon cannot be solved by traditional statistical
method due to the high dimensionality of the data and the
occurrence of multiple polymorphism. Hence, there are several
machine learning methods to solve such problems by identifying
such susceptibility gene which are neural networks (NNs),
support vector machine (SVM), and random forests (RFs) in such
common and multifactorial disease
27. M A C H I N E L E A R N I N G
Role of Artificial Intelligence in Health
AI allows those in training to go through naturalistic
simulations in a way that simple computer-driven
algorithms cannot.
The advent of natural speech and the ability of an AI
computer to draw instantly on a large database of scenarios,
means the response to questions, decisions or advice from a
trainee can challenge in a way that a human cannot.
27
28. AI-robot assisted surgery:
Robots have been used in medicine for more
than 30 years. Surgical robots that can either aid
a human surgeon or execute operations by
themselves. They’re also used in hospitals and
labs for repetitive tasks, in rehabilitation,
physical therapy and in support of those with
long-term conditions.
Role of Artificial
Intelligence in Health
28
29. Role of AI in
Public health
Role of AI in water
treatment
Role of AI in Disease
Surveillance
Role of AI in
screening
Role of AI in Epidemic
Prediction
29
31. SemanticMD AI Box can
analyze a chest X-ray within
20 seconds and can run off a
portable phone charger
SemanticMD aims to scale its
AI solution to provide low-
cost, accessible TB detection
to vulnerable populations,
particularly throughout
Southeast Asia, China and
Africa.
The company is already
working with partners in
China, South Africa, The
Gambia, Rwanda and Nigeria
– offering instant detection for
less than $1 per scan.
The solution integrates with
X-ray devices to work. It can
be accessed from the cloud or
deployed locally (where
internet access is limited).
32. Role of AI in Disease Surveillance
This study used a combination of case reports, Baidu (China’s top search
engine) search queries, and climate factors. Then they compared their
working models with existing results from five other provinces, and
discovered that their data models showed stronger statistical significance.
32
34. GUARDIAN (Geographic Utilization of Artificial Intelligence in Real-Time for
Disease Identification and Alert Notification) surveillance system is automated
and operates in real time. From a practical point of view, as soon as the cases
come to the Emergency Department, real-time analysis is performed on various
aspects of electronic health records (chief complaints, vital parameters, etc.)
and laboratory results. This means that a physician is informed and alerted of a
case as soon as it is identified.
The main benefit is avoiding delays and preventing further spread of contagious
infectious diseases such as influenza, plague and anthrax.
Role of AI in Symptoms Screening
34
35. Acceptance and scope of AI in the World
Strategies Acceptance
Future investments Researches
34
36. GOOD GLOBAL SUMMIT for AI
The “AI for Good Global Summit” took place at ITU in Geneva, Switzerland, on 7-9
June 2017 organized by ITU and the XPRIZE Foundation, in partnership with twenty
UN agencies.
This summit discussed how Artificial Intelligence (AI) could follow a development
course able to assist the achievement of the United Nations’ Sustainable
Development Goals.
36
39. According to the research firm,
Allied Market Research, the AI
in medicine market was valued at
$719 million in 2017 and is
expected to reach $18,119 million
at the end of 2025.
One analysis has found that the
use of AI applications could
result in approximately $150
billion in saved healthcare costs
annually by 2026 in the USA.
Investments in Artificial intelligence
40. Researches in AI
1 - CHINA
According to the Times Higher Education, in the period between 2011 and 2015,
China published over 41,000 papers on AI.
2 - UNITED STATES OF AMERICA
Between 2011 and 2015, the US published almost 25,500 papers.
With over 1000 companies and US$10 billion in venture capital, companies like
IBM, Microsoft, Google, Facebook, and Amazon.
3 - JAPAN
11,700 papers published. At present, about 55% of work activities in Japan could be
automated.
Switzerland (2.71)
Impact factor of such researches in AI Singapore (2.24)
Hong Kong (2.00)
40
41. Artificial Intelligence for Universal Health Coverage
& in SDGs
Healthcare (SDG
Goal 3)
Developing
countries are
endemically short
of medical workers.
AI applications
have the potential
to fill this gap.
Education (SDG
Goal 4)
A UNESCO study
shows trained
teachers are in short
supply in many
countries. AI for
education, AI can
potentially provide
customised teaching
and automated
teaching.
01
02
41
In principle, AI can be applied in all sectors and industries. Therefore, AI can
contribute to achieving all SDGs.
Major goal: Industry, innovation and infrastructure (SDG Goal 9) and responsible
consumption and production of energy (SDG Goal 12)
SDGs
43. Present uses of AIs in Nepal
In our practical life today, we see, and talk to AI:
• Have you ever wondered how some online shopping websites know your preferences to list relevant items
for you? Or how any email service providers know which email is spam for you?
• Or facebook self tags people in your photos, or collages old photographs or wishes you on your birthday
automatically.
• Siri app; your virtual friend, Zini your mobile doctor are some examples of simple AIs.
Medicine Delivery in the rural area
• Medicine delivery to the rural area is difficult and this has a severe effect on the health of locals in those
areas. Drones are best utilized in such situation with vital medicines being delivered on time and cheaper.
Medical field can have other benefits with the use of AI.
43
44. Artificial Intelligence in Nepal
• AI is still in infancy period in Nepal. It started in 2011 with the establishment
of Fusemachine company working in the field of Artificial Intelligence.
• As far as our country is concerned, Nepalese youths have done pretty good
work in the field of Artificial Intelligence & Robotics.
However, Fusemachine, AID and Paaila Technology are major tech-company
working in AI for a long time. Still there are around 10+ tech companies working
to come up with innovation in AI. This means we have future of possibility to
work more for AI in our country Nepal.
M-health
DHIS 2
Robot waiters
Nepali Speech Recognition
Query-AI powered chatbots
Nepali Text To Speech
44
45. Kathmandu, Feb 8: Wiseyak is a health care IT company that uses artificial
intelligence and machine learning to provide services to hospitals, patients and
doctors. The company is trying to build clinical decision support system which
would make it easier for the doctors to reach to the proper diagnosis.
“The software will take the report of the patients, lab results and come to the
conclusion. It will not replace the doctor but will assist the doctor while doing
diagnosis of the patient, so whatever the doctors need is right in front of them. If a
patient comes in to see the doctor with a headache, then the algorithm will ask the
patient about other reoccurring symptoms, making it easier to identify the disease
which will reduce the chances of misdiagnosis providing transparency to the
doctors and patients, also saving the time of both patient and doctor from
unnecessary tests, “said Ravi Bajaracharya, chief technical officer and co-
founder of the company.
A majority of hospitals in Nepal use paper documents instead of electronic record
data and doctors in Nepal are outnumbered by the number of patients, making it
difficult to give time to each patient.
“This innovation will improve the accuracy of the doctor and digitize patient’s
medical records. Another benefit of this technology is that it will make diagnosis
in rural areas easier where doctors are not easily available,” said Dr Hemanta
Shrestha COO and co-founder of the company.
A team of three members came up with an idea of this unique innovation. The
prototype of this technology will be ready in a month and the final product will be
launched within six months in South Asia. This innovation will surely give health
care a new direction in Nepal.
Wiseyak: a health care IT company in
Nepal which uses artificial
intelligence and machine learning to
provide services to hospitals, patients
and doctors.
The company has built clinical
decision support system which would
make it easier for the doctors to reach
to the proper diagnosis. The project is
in piloting stage in some hospitals of
Kathmandu.
This innovation will improve the
accuracy of the doctor and digitalize
patient’s medical records.
Another benefit of this technology is
that it will make diagnosis in rural
areas easier where doctors are not
easily available.
Present uses of AIs in Nepal
45
46. This data was fed through an AI engine called AIDR (Artificial Intelligence
Disaster Response) to generate a “Live Crisis Map”. Flowminder, a Swedish
NGO, collaborated with Ncell to use cell phone location data to estimate
population movements after the quake in order to inform the relief efforts.
Present uses of AIs in Nepal
46
Public Services
Besides impacting the economy and
employment, AI is optimizing the delivery
mechanisms of public goods and
services. During the earthquake in
Nepal, the UN used its 1500 strong
group of volunteers of its Digital
Humanitarian Network to label the
tweets coming out of Nepal as
“urgent needs”, “infrastructure
damage”, and “response effort”.
47. • On October 27, 2018, project called PD3R, lead by team of Artificial
intelligence for Development (AID), Naxa and BuildChange, won runner
up position in International AI competition called, Call for
Code, organized by IBM.
• Together, the team created Post-Disaster Rapid Response Retrofit
(PD3R). The solution, which is based on AI taught by 3D model images,
has the potential to provide displaced families with immediate access to
engineering advice following a natural disaster.
• PD3R is an AI Solution which uses Deep Learning to classify houses
which can be retrofitted or not.
Present uses of AIs in Nepal
47
49. Need and Possibilities of AI in Nepal
• The doctor to population ratio for the whole country is 1:1724. Like most
developing nations, doctors are geographically mal- distributed in Nepal.
• Medicine delivery to the rural area due to its geography is difficult and this has a
severe effect on the health of locals in those areas. There is to mention AI can be
effective in these circumstances.
• Community Leaders Program (CLP) in Nepal is mostly targeted to students and
new learners in AI, so that they can take a lead of their community and organize
events, conduct AI research, build projects, write articles on related topics.
• Likewise, in #SocialGoodSummit 2018, UNDP Nepal has collaborated with Artificial
Intelligence for Development (AID) to explore ways to make tech work for the
Sustainable Development Goals (#SDGs) at the Institute of Engineering in
Pulchowk.
49
50. Challenges of AI in Nepal
• Unavailable digitization of patients’ records (EHRs)
• Pre-operative planning,
• High costs
• New concepts
• Lack of internet facility at all conditions
• Lack of Governmental strategies
• Safety concerns
• Who will be responsible for harm caused by AI mistakes – the
computer programmer, the tech company, the regulator or the
clinician?
• Fear of losing jobs
50
51. Conclusion
Technology is changing fast, and the world is changing with it. Concepts that were mere
science fiction only a couple of decades ago -- like artificial intelligence (AI) -- are
quickly becoming commonplace. Advancements of AI in healthcare can assist the
human thoughts, human power, human resources effectively and efficiently.
We know every advancements have both pros and cons. AI could mean a lot of power
will be in the hands of a few who are controlling it.
Also AI dehumanizes warfare as AI technology can kill humans without involving an
actual human to pull the trigger.
In addition, AI does not have the ability to make a judgement call, so the accountability
of their work remains questionable.
But as we accepted computers, digitalization and dependency upon internet through
time, eventually AI will be employed to bring about another revolution in health sector.
51
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References
52
53. Thank You
Recently, the President of the Russian Federation said "artificial intelligence is
the future not only of Russia but of all of mankind. There are huge opportunities,
but also threats that are difficult to foresee today. Whoever becomes the leader
in this sphere will become the ruler of the world” 52
Editor's Notes
Sentient: able to perceive or feel things.
These self diving cars are found in states like: California, Michigan and Pensylvania
International Business Machines Corporation
It is an example of machine with AI where humans are protected from different occupational hazards
Republic of Korea, Singapore, Germany
1960s & 1970s: The software program Dendral is considered the first expert system because it automated the decision-making process and problem-solving behavior of organic chemists.[MYCIN was an early backward chaining expert system that used artificial intelligence to identify bacteria causing severe infections, such as bacteremia and meningitis, and to recommend antibiotics, with the dosage adjusted for patient's body weight.
1980s & 1990s: Increased volume and availability of health-related data from personal and healthcare-related devices
Mid 1970s to the mid 1990s: AI winter (AI funded were shortened)
Dartmouth College is a private Ivy League research university in Hanover, New Hampshire, United States
Medical research: The Institute of Cancer Research’s canSAR database combines genetic and clinical data from patients with information from scientific research, and uses AI to make predictions about new targets for cancer drugs.
New DNA sequencing technologies are making it feasible (in terms of both time and cost) to sequence all the exons or the complete genome of large numbers of people. This holds the promise of allowing identification of all genetic variants that contribute to disease.
World-changing AI needs massive interdisciplinary collaboration. Owning networks, security and verification can’t be done out of one lab. Robert Kirkpatrick (UN Global Pulse) suggested that this could include a Global Fund for AI for Social Good established to invest in cutting-edge research and promoting AI-based tools. The Fund would address the most pressing challenges of the SDGs for the most vulnerable populations and scale proven solutions through open source tools, to help define a common agenda for where the highest priority investment should go.
International Strategies regarding AI:
European Union: There is a European AI Alliance that has established an overarching approach to AI and an agreement to cooperate among European countries.
Nordic-Baltic Region: Ministers from the Nordic-Baltic region issued a declaration of collaboration on AI.
United Nations: The UN has numerous ongoing initiatives related to AI including providing guidance on data privacy and on autonomous weapons.
AI Agreement Between UAE and India: The UAE Minister for AI and Invest India signed a Memorandum of Understanding to establish a partnership.
International Study Group of Artificial Intelligence: France and Canada are developing a task force to make recommendations on the scope and implementation of the international study group.
Charlevoix Common Vision for the Future of Artificial Intelligence: Leaders of the G7 agreed to a shared set of commitments for AI in Charlevoix, Canada.
National Strategies
Australia: Australia has dedicated $29.9 million in the country’s annual budget to promote and guide the development of AI.
Austria: Austria has an advisory Robot Council that is developing a national AI strategy.
Canada: Canada has a national AI strategy called the Pan-Canadian Artificial Intelligence Strategy.
China: China has a national AI strategy, defined under the “New Generation Artificial Intelligence Development Plan.”
Denmark: Denmark has a digital strategy that includes a focus on AI along with other technologies.
Estonia: Estonia is developing a legal framework for the use of AI in its country, including a bill on AI liability.
Finland: Finland has an Artificial Intelligence Programme guided by a steering group under the Ministry of Economic Affairs and Employment.
France: France has a national strategy for AI called “AI for Humanity,” which is outlined in the “Villani Report”.
Germany: The German Government adopted its Artificial Intelligence Strategy in November 2018.
India: India defined a national policy on AI in a working paper titled, “National Strategy for Artificial Intelligence #AIforAll.”
Ireland: The Irish government has hosted AI workshops and launched a national AI Masters program.
Italy: Italy has an interdisciplinary AI Task Force launched by the Agency for Digital Italy.
Japan: Japan has an “Artificial Intelligence Technology Strategy” and has also included AI in its “integrated innovation strategy.”
Kenya: The Kenyan government created a Blockchain & Artificial Intelligence task force.
Malaysia: The Malaysian government is developing a National Artificial Intelligence Framework, and establishing Digital Transformation Labs.
Mexico: The Mexican government supported the creation of the white paper, “Towards an AI Strategy in Mexico: Harnessing the AI Revolution.”
New Zealand: New Zealand has an AI Forum to connect and advance the country’s AI ecosystem.
Russia: The Russian government is currently developing an AI R&D national strategy.
Singapore: Singapore has a national AI program called AI Singapore and is establishing an AI ethics advisory council.
Saudi Arabia: Saudi Arabia was the first country to grant citizenship to a robot.
South Korea: South Korea has an Artificial Intelligence Information Industry Development Strategy.
Sweden: The Swedish government has released a “National Approach for Artificial Intelligence.”
Tunisia: Tunisia has created an AI Task Force and Steering Committee to develop a national AI strategy.
United Arab Emirates: The UAE has a national strategy for AI and was the first country to name an AI Minister.
United States of America: The US launched the American AI Initiative February 2019.
United Kingdom: The UK government launched a Sector Deal for AI to advance the UK’s ambitions in AI consistent with its Industrial Strategy, and taking into account the advice of the Parliament’s Select Committee on AI.
PricewaterhouseCoopers (doing business as PwC) is a multinational professiona services network with headquarters in London, United Kingdom. PwC ranks as the second largest professional services firm in the world
PwC projected that AI could potentially be worth $15.7 trillion to the global economy by 2030.
The latest report from IDC projects that spending on AI across Europe will hit $5.2 billion. Just 0.2% of European GDP. Okay, you would expect spending on AI to be less than its contribution to GDP, but that is ridiculous.
Estimates suggest that China’s total investment in AI enterprises reached $2.6 billion in 2016 . China’s State Council has aimed to become a global innovation centre in the field by 2030, by projected investment $147 billion.
Some of the AI services from Paaila Technology include:
Query Answering System
Nepali Tecct to speech
Recommendation System
Few of the world-class Robots by Paaila Technology includes:
Pari (Humanoid Robot)
Room Service Robot
Waiter Robot
The Deep Learning Model analyse the four images of a house provided by the house owner via an app on his/her smartphone, after successfully classifying the image, the model will give response whether or not the house can be retrofitted, saving time and money of structural engineer to visit the house and analyse by hand. Currently it only supports remote houses of Nepal.
Nepal e-health policy strategy 2017
Policies in Nepal:
This is guided by NHSP, periodic Development Plans, Health Sector Information System-National Strategy(HSIS-NS) and information, Communication and Technology Policy of the Government of Nepal.
The Kathmandu valley has one doctor for 850 people but in rural areas the number is one doctor for every 150000 people, so the need of AI is high in Nepal.
Canadian-Based Northern Health Adopts Nuance AI-powered Dragon Medical One to Revolutionize Care Delivery Across British Columbia
Nuance’s speech recognition platform promotes care team collaboration, improves clinical documentation efficiency and physician mobility at Northern Health
“Because speech recognition is integrated directly into the electronic health record, it’s easier for physicians to provide richer documentation in a timely way,” said William Clifford, MD, Chief Medical Information Officer at Northern Health. “There’s no question, better, faster documentation supports better, safer care.”