Recent advances in artificial intelligence (AI) are transforming healthcare in several ways:
1) AI is being used to detect diseases like cancer more accurately and at earlier stages by analyzing medical images and data.
2) Health monitoring tools using AI, like wearable devices and apps, are helping encourage healthier behaviors and allow remote monitoring by doctors.
3) AI systems are improving clinical decision-making by analyzing large amounts of medical data to customize treatment and support precision medicine approaches.
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.
10 Common Applications of Artificial Intelligence in HealthcareTechtic Solutions
List of 10 Common Applications of Artificial Intelligence that explain how artificial intelligence is used in healthcare and why it is necessary? To read briefly all common applications of artificial intelligence in healthcare then visit at https://www.techtic.com/blog/applications-of-ai-in-healthcare/
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.
The document discusses the role of artificial intelligence in healthcare. It describes various aspects of AI including machine learning, knowledge engineering, robotics, and machine perception. It notes that AI has great potential to improve healthcare by helping address issues like workforce shortages and rising patient needs as populations age. However, successfully integrating AI into healthcare systems faces challenges like overcoming technical and regulatory limitations, addressing ethical concerns, and ensuring AI is used to augment rather than replace human professionals. Overall, the document presents an overview of AI in healthcare, its opportunities and challenges.
Patients are about to see a new doctor: artificial intelligence by EntefyEntefy
The health care industry has already seen advanced artificial intelligent systems make an impact in areas like medical diagnosis and patient care. But the long-term big-picture importance of AI in medicine may be something else entirely: a potential fix for the intractable problem of too few doctors and nurses worldwide. And as part of that, a solution to health care’s public enemy number one—paperwork.
Entefy curated a presentation based on our article about the impact of artificial intelligence in medical care. These slides provide a snapshot of how AI is at use in medical care today, the advances and limits of current AI systems, and AI’s potential in patient care. The presentation contains useful data and analysis for anyone interested in the intersection of AI and medical care.
For additional analysis and links to our background sources, read “Patients are about to see a new doctor: artificial intelligence" on our blog at https://blog.entefy.com/view/298/Patients-are-about-to-see-a-new-doctor-artificial-intelligence.
Artificial Intelligence In Medical IndustryDataMites
The document discusses the use of artificial intelligence and machine learning in the medical industry. It describes how AI can be used to analyze and understand complex medical data, aiding in tasks like cancer diagnosis, drug development through protein folding, and detecting heart diseases using smartwatches. The document also lists several other medical applications of AI such as diagnostic decision support, self-diagnosis through AI doctors, monitoring medication usage, detecting hospital infections through computer vision, and using AI to treat social anxiety.
Artificial intelligence (AI) refers to simulating human intelligence through machine learning and programming. AI has the potential to revolutionize many industries including healthcare. Some ways AI is used in healthcare include medical diagnosis using images, personalized medicine through genetic and medical history analysis, drug discovery by analyzing trial data, clinical decision support, chronic disease management, predictive analytics, and population health management. The advantages of AI in healthcare include increased efficiency, improved accuracy, enhanced decision making through large data analysis, and potential improved outcomes. Challenges include concerns about accuracy and bias in training data and ethical issues in its use.
This presentation discuss major applications of AI in Healthcare including medical diagnostics, personalized treatments and optimizing US healthcare system. This presentation also discuss some of the challenges of implementing AI in healthcare.
Short overview over possibilities and challenges of using artificial intelligence in health care. Presentation from the MultiHelix ThinkTank, May 14 2020.
AI in Healthcare | Future of Smart Hospitals Renee Yao
In this talk, I specifically talk about how NVIDIA healthcare AI software and hardware were used to support healthcare AI startups' innovation. Three startups featured: Caption Health, Artisight, and Hyperfine. Audience: healthcare systems CXOs.
Artificial intelligence enters the medical fieldRuchi Jain
In the medical and health field, artificial intelligence can help reduce the cost of ongoing health operations, and can have an impact on the quality of medical care for patients everywhere. By diagnosing diseases earlier, AI can also improve patient outcomes. No matter how you look at it, artificial intelligence has great potential in healthcare.
This presentation discusses artificial intelligence (AI) in healthcare. It defines AI and describes its applications in medical settings like diagnosing diseases, monitoring health, and assisting with treatment. Both advantages like faster data analysis and routine task automation, and disadvantages like training challenges are covered. Specific AI tools in healthcare like digital consultations and early disease detection are mentioned. The presentation addresses improving decision making, overcoming challenges to adopting AI, and ensuring its ethical and responsible use.
Artificial intelligence is disrupting healthcare in several ways:
- AI is improving disease prediction, customized medicine development, and other areas of human biology.
- The growth of AI in healthcare is driven by factors like increased funding, demand for precision medicine, and cost reductions, allowing for more accurate and early disease diagnosis.
- However, some end users are reluctant to adopt AI healthcare technologies due to lack of trust and potential risks, though AI also offers opportunities to improve outcomes for patients and in emerging markets.
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.
From traffic routing to self-driving cars, Alexa to Siri, AI’s reach is extending into all areas of life, including healthcare. Join Kimberley to learn more about how AI is being used now, and will be used in the near future, to facilitate provider-patient communication, mine medical records, assess patients, predict illness, suggest treatments, and so much more. This class is freshly updated for 2023 and also includes a section on the bias inherent in AI, which impacts the kind of treatment that patients receive.
AI in Healthcare: From Hype to Impact (updated)Mei Chen, PhD
This document summarizes a workshop presentation on AI in healthcare. It begins by discussing the hype around AI and how it has not yet delivered many results. It then outlines some challenges to using AI in healthcare like a lack of understanding of what AI can do, poor implementation strategies, and a shortage of trained workforce. The objectives of the workshop are then stated as understanding AI's real potential and how to invest wisely. Various AI technologies like machine learning, natural language processing, and voice technology are described. Key requirements for successful AI include understanding its limitations and developing a strategy to bring real value.
Changing Medical profession with Artifical Intelligence what it means to us Dr.T.V.Rao MD
•Artificial Intelligence fast penetrating to every system and modality of human living However the implications of Artificial Intelligence is truly different from other professions we should be more aware of the ongoing matters and chose what is good in Human and health care ?
•Dr.T.V.Rao MD
•Former professor of Microbiology
•Adviser and Member Associate Elsevier research Netherlands
The use of artificial intelligence in healthcare has the potential to assist healthcare providers in many aspects of patient care and administrative processes as well as improve patient outcomes.
AI analyzes data throughout a healthcare system to mine, automate and predict processes. Some of the use cases are :
1. Early Diagnosis of diseases
2. Improved clinical trial processes
3. Mental health apps etc.
This talk gives an introduction about Healthcare Use cases - The AI ladder and Lifestyle AI at Scale Themes The iterative nature of the workflow and some of the important components to be aware in developing AI health care solutions were being discussed. The different types of algorithms and when machine learning might be more appropriate in deep learning or the other way will also be discussed. Use cases in terms of examples are also shared as part of this presentation .
Artificial intelligence is being used increasingly in health care to improve outcomes. It can help detect diseases like cancer more accurately, review medical images much faster than humans, and provide personalized treatment recommendations. AI systems analyze large amounts of medical data to support clinical decision making. Chatbots and digital consultations using AI can provide medical advice by comparing symptoms to illnesses. Machine learning algorithms also help with tasks like medication management and molecular epidemiology research. AI shows promise in improving health globally by making better use of data and resources.
Artificial intelligence is being used increasingly in healthcare to analyze large amounts of complex data and patient information. AI applications have been developed for tasks like diagnosing diseases, developing treatment protocols, and monitoring patients. This allows for faster, more accurate, and unbiased analysis compared to humans. While AI can benefit healthcare in many ways, it also faces challenges in cost, privacy concerns, and potential job losses. If implemented effectively, AI is predicted to significantly improve health outcomes and save billions of dollars globally by 2026 through more efficient, personalized care.
This document discusses artificial intelligence (AI) and its applications in biomedical fields. It begins by defining AI and biomedical AI as using algorithms and complex structures to analyze medical data similar to human intelligence. The document then discusses how AI is used in areas like medical imaging for tasks like cancer detection, as well as health monitoring, managing medical records, and diagnostics. It also explores technologies like machine learning and deep learning that power biomedical AI applications. Overall, the document provides a high-level overview of the evolution and uses of AI in healthcare and biomedical fields.
Artificial Intelligence in Healthcare.pdfayushiqss
Imagine a parallel world, where everyone could know about their future health and any diseases they might have in later years. Now, come back to the real world where you no longer need to imagine anything. Everything is possible now with the integration of Artificial Intelligence in healthcare. Humans are developing the best AI and ML-powered devices that can predict your future health.
Role of artificial intelligence in health carePrachi Gupta
Artificial intelligence has many applications in healthcare, including improving disease diagnosis through analysis of medical imaging and other patient data, aiding radiologists in detecting abnormalities, and enabling constant remote patient monitoring. The use of AI is expected to lower medical costs through greater accuracy and better predictive analysis. It is being applied to issues like managing the coronavirus outbreak through monitoring patients and regulating hospital visitor flow. Going forward, AI may help predict where virus outbreaks are likely to occur.
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 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.
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.
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.
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.
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.
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 (AI), machine learning, and deep learning are taking the healthcare industry by storm. They are not pie in the sky technologies any longer; they are practical tools that can help companies optimize their service provision, improve the standard of care, generate more revenue, and decrease risk. Nearly all major companies in the healthcare space have already begun to use the technology in practice; here I present some of the important highlights of the implementation, and what they mean for other companies in healthcare.
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.
Sunny and Rishi, two brothers who work as cleaners, dream of becoming musicians. They get the opportunity to meet their favorite rapper, DarkCat, who is impressed with their songwriting skills and offers to help produce their songs. They go to DarkCat's recording studio and perform their songs, impressing everyone. However, they are faced with a difficult decision to relocate for their music careers. Ultimately, they decide to decline the offer and keep their options open. They return home to their family, who supports their decision and encourages them to keep pursuing their dreams. Sunny reflects on the experience and leaves the possibility of becoming musicians open for the future.
Hashtag magazine July issue 2024 - Kartik Aaryaninfo546881
Exclusive Alert! Our cover star @kartikaaryan the self-proclaimed lone wolf, opens up about his journey in the industry and feeling like an outsider despite his hits. Catch his candid interview only in Hashtag Magazine!
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🌏 Travel to Arunachalam and much more…
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Bad Cinderella vs The Heist at the Ball.pptxmijilata
This powerpoint summarizes and compares the book The Heist at the Ball by J.M. Knight and the musical Bad Cinderella by Andrew Lloyd webber. version 1 since I will probably have to redo it later
Bad Cinderella is a 2021 musical that ran on Broadway for 12 months and abruptly shut down. ALW actually had a little controversy at the end because hd didn't show up to the last show and instead wrote a letter for the stars to read after taking their bows. The show received mostly bad reviews,
similar to The Heist at the Ball by J.M. Knight, which is a book very similar about a boy who wants to rob a castle and make money for his girl. It's also a cinderella story but instead of her being the main character it's her love interest. There was bad reception for this too. Thought it would be funny to compare.
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.
6/11/2019 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
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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
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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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