1. INITIATION OF ARTIFICAL INTILLIGENCE
IN MEDICAL SCHOOLS/ COLLEGES
by
Dr.T.V.Rao MD
19-09-2023 Dr.T.V.Rao MD @ Artificial Intilligence 1

2. HOW WE LEARN AND PRACTISE MEDICINE
IS CHANGING ARE WE READY
•Medicine is at the precipice of change. The
advancement of artificial intelligence (AI) and
machine learning (ML) algorithms are
reshaping the way physicians and healthcare
providers approach the practice of medicine.
In recent years, AI has rapidly evolved into
applicable medical technology geared for
clinical practice.
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3. Health care face huge problems
• Health care face huge problems,
with growing numbers of patients
and too few doctors to treat them.
Artificial intelligence can help cure
some of these ills, offering
advances ranging from more
efficient diagnoses to safer
treatments. This film examines
how AI can transform health care,
and explores the difficulty of
protecting the privacy of patients.
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4. •• Definition
•• Early History
•• Current status of AI
•• Challenges for AI
•• Future of AI
•• Pros & Cons
•• Conclusion
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5. Most advancing Industry continues to
be Artificial Intelligence
•Artificial Intelligence is
among the largest and
quickest technological
wave that has hit the
world of tech. Globally
the AI market is
estimated to grow at a
rate of 154 percent.
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6. Understanding the Artificial Intelligence
• !)The study of computer
systems that attempt to
model and apply the
intelligence of the human
mind.
• 2) A branch of computer
science dealing with the
simulation of intelligent
behavior in computers.
• 3) The capability of a machine
to imitate intelligent human
behavior
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7. Early History of Artificial Intelligence
• In 1950 English mathematician Alan Turing wrote a
landmark paper titled “Computing Machinery and
Intelligence” that asked the question: “Can machines
think?”
• Further work came out of a 1956 workshop at Dartmouth
sponsored by John McCarthy. In the proposal for that
workshop, he coined the phrase a “study of Artificial
Intelligenc
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8. Recent Advances in / with Artificial Intelligence
• AI have taken many shapes and forms over recent years
• Mobile Phones ( Siri/ Cortana)
• Video Games Characters
• GPS/ Voice Recognition
• Robotics
• Google has been a major play on AI transcendence and
Deep Learning.
• Deep learning is a machine learning based on algorithms
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9. Differences between AI, machine
learning and deep learning
• AI, machine learning and deep learning are common terms
in enterprise IT and sometimes used interchangeably,
especially by companies in their marketing materials. But
there are distinctions. The term AI, coined in the 1950s,
refers to the simulation of human intelligence by machines.
It covers an ever-changing set of capabilities as new
technologies are developed. Technologies that come under
the umbrella of AI include machine learning and deep
learning.
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10. Machine learning
• Machine learning enables
software applications to
become more accurate at
predicting outcomes
without being explicitly
programmed to do so.
Machine learning
algorithms use historical
data as input to predict new
output values.
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11. Deep Learning
• Deep learning, a subset of
machine learning, is based
on our understanding of
how the brain is structured.
Deep learning's use of
artificial neural networks
structure is the
underpinning of recent
advances in AI, including
self-driving cars and
ChatGPT.
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12. Why is artificial intelligence
important?
• AI is important for its potential
to change how we live, work
and play. It has been effectively
used in business to automate
tasks done by humans,
including customer service
work, lead generation, fraud
detection and quality control. In
a number of areas, AI can
perform tasks much better than
humans.
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13. Humans are More intelligent –
A Philosophy works even with Artificial Intelligence
• Humans are the most
adaptable creature on
earth, not least according to
humans! A big part of our
adaptability rests on our
ability to create tools for
"doing more with less",
which is a good definition of
technology.
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14. Who is more intelligent
• Another argument is based
on the observation that
animals with smaller
brains than humans are
capable of intelligent
behavior, so there’s no
reason why machines
couldn’t also achieve this
level of intelligence given
enough time and resources.
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15. Stephen Hawking, Theoretical physicist
• The development of full
artificial intelligence could spell
the end of the human race. It
would take off on its own, and
re-design itself at an ever
increasing rate. Humans, who
are limited by slow biological
evolution, couldn’t compete,
and would be superseded”
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16. What is the role of artificial intelligence in
medical education?
• They saw AI as an assistive
tool that may improve
doctors' access to
information, help physicians
to make more accurate
clinical judgments, minimize
medical mistakes, and
improve patients' access to
healthcare.
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17. What the Professionals say on AI
•A great majority of
the respondents felt
that AI could not
replace physicians;
instead, they thought
that it could be an
assistant or a tool to
help them.
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18. AI Helping Students
• Likewise, the majority of
students surveyed in other
studies perceived AI as a
partner or a tool rather
than a rival . Nevertheless,
half of the students in this
study were concerned
about a reduced need for
physicians and subsequent
unemployment
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19. Potentials of Man Versus Machine
•One of a leader’s main responsibilities is to
distinguish between what can and cannot
be done, understand what technology can
do, and how to use it appropriately to
move your business or agency forward.
This program will help you do that."
•PROFESSOR JIM WALDO
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20. AI in healthcare.
• The biggest bets are on improving patient outcomes and reducing costs.
Companies are applying machine learning to make better and faster
medical diagnoses than humans. One of the best-known healthcare
technologies is IBM Watson. It understands natural language and can
respond to questions asked of it. The system mines patient data and other
available data sources to form a hypothesis, which it then presents with a
confidence scoring schema. Other AI applications include using online
virtual health assistants and chatbots to help patients and healthcare
customers find medical information, schedule appointments, understand
the billing process and complete other administrative processes. An array
of AI technologies is also being used to predict, fight and understand
pandemics such as COVID-19.
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21. How Is AI Used Today?
• Open AI released its
ChatGPT tool late in 2022. It
rapidly gained in popularity
with millions of users being
added each month in 2023.
ChatGPT is considered a
Weak AI, but it's not strictly
reactive and can respond
creatively to a wide variety
of topics.
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22. Virtual assistants for telemedicine
• ChatGPT can be used to develop a
virtual assistant to help patients
schedule appointments, receive
treatment, and manage their
health information. With the rise of
telemedicine, many patients now
prefer to receive care from the
comfort of their homes — and a
virtual assistant powered by
ChatGPT can provide patients with
the guidance and support they
need to manage their health
remotely.
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23. Chat GPT Answers and Organizes
• ChatGPT, which has been the
subject of much discussion in the
past few months (and could soon
secure $10bn in investment from
Microsoft). In it’s current version,
this impressive conversational
user interface has impressed for
its ability to make human-like
interpretations of questions,
display human-like understanding,
and provide expert-like answers to
virtually anything we ask,
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24. Artificial Intelligence knows it
limitations
•The System of Artificial
Intelligence knows its
limitations even when
the answer is "I’m not
qualified to answer this
question" (something
only humble humans
seem capable of saying).
19-09-2023 Dr.T.V.Rao MD @ Artificial Intilligence 24

25. ChatGPT
• ChatGPT is a cutting-edge
language model developed by
OpenAI that offers a wide
range of benefits to users.
With its ability to generate
high-quality, contextually
appropriate text, Chat GPT is
an ideal tool for businesses
and organizations looking to
communicate with their
customers and clients in a
more personal and human
way.
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26. •Additionally, the
model's ability to learn
and improve over time
makes it a highly
adaptable tool that will
continue to be valuable
for years to come. If you
are interested in
learning
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27. AI advance center in Health care and
medicine
• Part of Bern’s initiative for digitalization in healthcare, CAIM is a
virtual center connecting engineers, physicians and scientists in the
area of AI in medicine and providing them with resources and access
to infrastructure. | Copyright University of Bern
• Currently, healthcare systems generate more digital data than medical
professionals can evaluate. However, using artificial intelligence (AI)
based clinical tools, key characteristics can be identified rapidly from a
vast amount of data, assisting doctors, nurses and other medical staff
in making more accurate diagnoses and better treatment decisions.
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28. • According to a new market research report by MarketsandMarkets,
the market is expected to grow from $667.1 million in 2016 to
$7,988.8 million by 2022, at a CAGR of 52.68 percent during the
forecast period.
• The growing usage of big data in the healthcare industry, ability of AI
to improve patient outcomes, imbalance between health workforce
and patients, reducing the healthcare costs, growing importance on
precision medicine, cross-industry partnerships, and significant
increase in venture capital investments are expected to drive the AI in
healthcare market.
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29. • Specifically in healthcare, ML has led to exciting new developments
that could redefine cancer diagnosis and treatment in the years to
come. ML can increase access to treatment in developing countries
which don't have enough specialist doctors that can treat certain
diseases, it can improve the sensitivity of detection, add more value
in treatment decisions, and it can help personalize treatment so that
each patient gets the treatment that's best for them. In many cases
they can even add to workflow efficiency in hospitals. The possibilities
are endless.
• Identifying
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30. Identifying Disease And
Diagnosis
• With growing populations and
increased life expectancy,
health systems are quickly
becoming overburdened,
under-resourced and not
equipped for the challenges
they face. Scientists have been
working on ML models that
predict disease susceptibility or
aid in early diagnosis of
diseases and illnesses.
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31. MIT's Computer Science and Artificial
Intelligence Lab has developed
•MIT's Computer Science and Artificial Intelligence
Lab has developed a new deep learning-based
prediction model that can forecast the development
of breast cancer up to five years in advance. Their
model was trained on mammograms and patient
follow-up data to identify patterns that would not be
obvious to or even observable by human clinicians.
The results have so far shown to be far more precise,
especially at predictive, pre-diagnosis discovery.
19-09-2023 Dr.T.V.Rao MD @ Artificial Intilligence 31

32. How Is AI Used in Healthcare?
• In healthcare settings, AI is used
to assist in diagnostics. AI is very
good at identifying small
anomalies in scans and can better
triangulate diagnoses from a
patient's symptoms and vitals. AI
is also used to classify patients,
maintain and track medical
records, and deal with health
insurance claims. Future
innovations are thought to include
AI-assisted robotic surgery, virtual
nurses or doctors, and
collaborative clinical judgment.
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33. In conclusion on Artificial Intelligence
• Finally we can say that the Artificial Intelligence (AI) is the
intelligence of machines and the branch of Computer
• Science that aims to create it.AI textbooks define the field
as “ The Study and Design of Intelligent Agents” where an
intelligent agent is a system that perceives it’s environment
and takes actions that maximize the chances of it’s success.
John McCarthy ,who coined the term in 1955, defines it as
“The Science and Engineering of making intelligent
Machines
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34. References
• Artificial intelligence in medical education: a cross-sectional needs
assessment
• M. Murat Civaner, Yeşim Uncu, Filiz Bulut, Esra Giounous Chalil &
Abdülhamit Tatli
• DEFINITION
• artificial intelligence (AI)
• By
• Ed BurnsNicole Laskowski, Senior News DirectorLinda Tucci, Industry Editor
-- CIO/IT Strateg
• UNIVERSITY OF BERN AND INSELSPITAL OPEN THE CENTER FOR ARTIFICIAL
INTELLIGENCE IN MEDICINE
• Nov 17, 2020 17:15Pierre-Yves Oehrli, Greater Geneva Bern area
19-09-2023 Dr.T.V.Rao MD @ Artificial Intilligence 34

35. • 5 Ways Machine learning is Redefining Healthcare
• It has led to exciting new developments that could redefine cancer
diagnosis and treatment in the years to come
• learn more about Dr. Manjiri Bakre
• BY DR. MANJIRI BAKRE • OCT 31, 2019
• ORIGINALLY PUBLISHED OCT 31, 2019
• Share
19-09-2023 Dr.T.V.Rao MD @ Artificial Intilligence 35

36. •Program file created by Dr T V.Rao MD
for benefit of Health care Professionals
Globally
•doctortvrao@gmail.com
19-09-2023 Dr.T.V.Rao MD @ Artificial Intilligence 36