Artifice intelligence in Medicine by Dr.T.V.Rao MD

1. Artificial Intelligence in
Medicine
basics for Medical and paramedical students
Dr.T.V.Rao MD
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 1

2. 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 in
human 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
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 2

3. Information technology most
advancing
science
•Concurrent advances in information technology
infrastructure and mobile computing power in
many low and middle-income countries
(LMICs) have raised hopes that artificial
intelligence (AI) might help to address
challenges unique to the field of global health
and accelerate achievement of the health-
related sustainable development goals
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 3

4. Beginning of Artificial intelligence
• Artificial intelligence (AI) is
the term used to describe the
use of computers and
technology to simulate
intelligent behavior and
critical thinking comparable
to a human being. John
McCarthy first described the
term AI in 1956 as the science
and engineering of making
intelligent machines.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 4

5. Artificial Intelligence can change the
future of Medicine in Practice
• AI promises to change the
practice of medicine in hitherto
unknown ways, but many of its
practical applications are still in
their infancy and need to be
explored and developed better.
Medical professionals also need
to understand and acclimatize
themselves with these advances
for better healthcare delivery to
the masses.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 5

6. Radiology in Most upfront in Artificial
Intelligence
• Radiology is the branch that has
been the most upfront and
welcoming to the use of new
technology. Computers being
initially used in clinical imaging
for administrative work like
image acquisition and storage
to now becoming an
indispensable component of the
work environment with the
origin of picture archiving and
communication system.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 6

7. Why the developing and resource free
countries are in need of Artificial Intelligence
• These challenges, including acute
health workforce shortages and
weak public health surveillance
systems, undermine global
progress towards achieving the
health-related sustainable
development goals (SDGs).
Although not unique to such
countries, these challenges are
particularly relevant given their
contribution to morbidity and
mortality.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 7

8. Accelerating access to AI
• Numerous data are
available to show how AI is
being tested to address
health challenges relevant
to the achievement of
SDGs. Such interventions
include disease specific
applications and those
aimed at strengthening
health systems.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 8

9. Plans to implement AI in Health care
systems
• Many AI health
interventions have
shown promising
preliminary results, and
could soon be used to
augment existing
strategies for delivering
health services in LMICs.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 9

10. Plans to implement AI in Health care
systems
• Helps in disease diagnosis,
where AI powered
interventions could be used in
countries with insufficient
numbers of health providers,
and in risk assessment where
tools based largely on
machine learning could help
to supplement clinical
knowledge.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 10

11. AI is Transforming Procurement in
Healthcare
• The field of artificial intelligence (AI) has made great strides
in recent years, with the technology making its way into
industries as diverse as manufacturing and hospitality. The
next frontier is procurement and supply chain management
in the Healthcare Industry, with AI set to transform the way
companies source their materials and streamline the
operations of their equipment. Some experts predict that
within five years AI will be responsible for over $300 billion
in annual savings, for the healthcare industry alone.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 11

12. Clinical use of AI is increasing
• Healthcare providers are
responsible for ensuring that
AI applications provide useful
technology in support of
patient care. For this reason,
gaining adequate knowledge
and skills regarding AI
applications in medicine is
crucial for medical students,
who may even have to use
applications that did not exist
during their education.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 12

13. Benefits of AI in medicine
• Informed patient care
• integrating medical AI into
clinician workflows can give
providers valuable context
while they're making care
decisions. A trained machine
learning algorithm can help cut
down on research time by
giving clinicians valuable search
results with evidence-based
insights about treatments and
procedures while the patient is
still in the room with them.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 13

14. Helps Error
reduction
• There is some evidence that
AI can help improve patient
safety. A recent systemic
review of 53 peer-reviewed
studies examining the impact
of AI on patient safety found
that AI-powered decision
support tools can help
improve error detection and
drug management.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 14

15. Reducing the costs of
care
• There are a lot of potential
ways AI could reduce costs
across the healthcare
industry. Some of the most
promising opportunities
include reducing medication
errors, customized virtual
health assistance, fraud
prevention, and supporting
more efficient administrative
and clinical workflows.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 15

16. Increasing doctor-patient engagement
• Many patients think of questions outside of typical
business hours. AI can help provide around-the-clock
support through chatbots that can answer basic
questions and give patients resources when their
provider’s office isn’t open. AI could also potentially
be used to triage questions and flag information for
further review, which could help alert providers to
health changes that need additional attention.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 16

17. Providing contextual relevance
•One major advantage of deep learning is that AI
algorithms can use context to distinguish between
different types of information. For example, if a
clinical note includes a list of a patient's current
medications along with a new medication their
provider recommends, a well-trained AI algorithm
can use natural language processing to identify
which medications belong in the patient's medical
history.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 17

18. Improves the matters in Medical
Edcaution
• Understanding how today’s medical student perceives AI in
medicine, what they know and don’t know, and their
comprehension of AI’s ethical dimensions is a crucial first
step to developing effective AI curricula. Kern et al. define
one of the steps of curriculum development as “Needs
Assessment of Targeted Learners”, a process by which
curriculum developers identify the differences between the
ideal and the actual characteristics of the targeted learner
group.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 18

19. Demand for Artifical intelligence is
growing
• there might be a high demand to have AI topics integrated
into the university curricula which should be further
explored . To the best of our knowledge, Wood et al.’s study
with 117 medical students on seven topics is the only one in
the literature that investigated the importance of AI topics
in the eyes of the students. Hence, in this study, we aimed
to examine medical students’ perceptions regarding the
possible influence of AI on medicine and also their thoughts
on the AI topics to be integrated into the medical
curriculum.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 19

20. AI applications in medicine
• There are numerous ways
AI can positively impact the
practice of medicine,
whether it's through
speeding up the pace of
research or helping
clinicians make better
decisions. Here are some
examples of how AI could
be used:
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 20

21. AI in disease detection and
diagnosis
• Unlike humans, AI never needs to sleep. Machine learning
models could be used to observe the vital signs of patients
receiving critical care and alert clinicians if certain risk
factors increase. While medical devices like heart monitors
can track vital signs, AI can collect the data from those
devices and look for more complex conditions, such as
sepsis. One IBM client has developed a predictive AI model
for premature babies that is 75% accurate in detecting
severe sepsis.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 21

22. Personalized disease treatment
• Precision medicine could become easier to support
with virtual AI assistance. Because AI models can
learn and retain preferences, AI has the potential to
provide customized real-time recommendations to
patients around the clock. Rather than having to
repeat information with a new person each time, a
healthcare system could offer patients around-the-
clock access to an
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 22

23. AI can act as your Virtual Assistant
•AI-powered virtual
assistant that could
answer questions
based on the
patient's medical
history,
preferences and
personal needs.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 23

24. Virtual Assistants: Artificial
Intelligence, Real Improvements In
L&D
• The most common
examples of AI we currently
have are virtual assistants.
You know the two big ones
by name: Google Assistant
and Alexa (Amazon). These
are language recognition
systems that learn from
your choices and
preferences.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 24

25. Google Assistant
• “Google Assistant can help
you organize your
meetings and Alexa can
make your shopping easier.
Yet, if you apply these
same pieces of technology
to other purposes, you can
achieve different results”
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 25

26. AI in medical imaging
• AI is already playing a prominent role in medical imaging.
Research has indicated that AI powered by artificial neural
networks can be just as effective as human radiologists at
detecting signs of breast cancer as well as other conditions.
In addition to helping clinicians spot early signs of disease,
AI can also help make the staggering number of medical
images that clinicians have to keep track of more
manageable by detecting vital pieces of a patient's history
and presenting the relevant images to them.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 26

27. Clinical trial efficiency
• A lot of time is spent during
clinical trials assigning medical
codes to patient outcomes and
updating the relevant datasets. AI
can help speed this process up by
providing a quicker and more
intelligent search for medical
codes. Two IBM Watson Health
clients recently found that with AI,
they could reduce their number of
medical code searches by more
than 70%.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 27

28. Accelerated drug development
• Drug discovery is often one of
the longest and most costly
parts of drug development. AI
could help reduce the costs of
developing new medicines in
primarily two ways: creating
better drug designs and
finding promising new drug
combinations. With AI, many
of the big data challenges
facing the life sciences
industry could be overcome.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 28

29. Pros and Cons of Artificial
Intelligence in Healthcare
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 29

30. Pros of Artificial Intelligence in
Healthcare
• .AI makes healthcare
more accessible.
• Unfortunately, many
poor countries continue
to fall behind the rest of
the world in many areas,
and healthcare remains
the most unpleasant for
them.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 30

31. Pros of Artificial Intelligence in
Healthcare
•People living in the
most remote areas are
at risk of dying since it
is nearly hard to
obtain appropriate
medical assistance in
a timely manner.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 31

32. What the WHO says about Artificial
Intelligence
• According to the World Health Organization, unequal
access to health services results in an 18.1-year
difference in life expectancy between the richest and
poorest countries.
Artificial intelligence (AI) can be used to develop a
more efficient healthcare ecosystem. Patients will be
able to better understand their symptoms and receive
the treatment they require with the support of such
digital infrastructure.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 32

33. New applications are already
functional
• Many applications have lately
been developed to improve
the collaboration between
national and international
healthcare institutions in
order to give patients with
immediate support. For
example, the Ada App, which
is based on intelligent
technology and is available in
140 countries, improves
access to medical guidance
for the poor.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 33

34. PROVIDES REAL-TIME
DATA
• Acquiring reliable information
in a timely manner is an
important part of diagnosing
and treating medical problems.
Doctors and other medical
professionals can use AI to use
real-time, precise data to speed
up and improve key therapeutic
decisions. Improved
preventative measures, cost
savings, and patient wait times
can all be achieved by
producing more immediate and
realistic outcomes.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 34

35. improved physician-patient
connections
• improved physician-patient
connections can be aided by
real-time analytics. Patients
can be more engaged in their
treatments if crucial health
data is made available via
mobile devices. Doctors and
nurses can be alerted to
critical changes in patient
status and crises through
mobile alerts.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 35

36. AI-powered techniques aid in the
detection of early disease risks.
• Because AI can collect and store
people’s data in one place, it can
use it to get insight into their past
and current health issues. The
physicians can make a more
accurate diagnosis with such a
comparison of disease details.
Millions of symptoms, diagnoses,
and specific cases have been
accumulated in the health app
database, allowing for the
prediction of future health
problems.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 36

37. RISKS OF ARTIFICIAL
INTELLIGENCE
• Automation-spurred job loss
• Privacy violations
• Deepfakes
• Algorithmic bias caused by bad
data
• Socioeconomic inequality
• Market volatility
• Weapons automatization
•
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 37

38. IS ARTIFICIAL INTELLIGENCE A
THREAT?
• The tech community has long
debated the threats posed by
artificial intelligence.
Automation of jobs, the
spread of fake news and a
dangerous arms race of AI-
powered weaponry have
been mentioned as some of
the biggest dangers posed by
AI.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 38

39. Google helps in use of Artificial
intelligence
• well-known software
program Verily, a
Google product, is
adept at predicting
both communicable
and hereditary genetic
disorders.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 39

40. A I Helps in Fraud Detection
• One way to improve fraud detection is through an artificial
intelligence program called neural network analysis. Through
machine learning, neural networks are able to quickly analyze
large amounts of data and recognize patterns or flags indicative
of criminal behavior. For instance, a company that used a neural
network to scan millions of invoices for signs of fraud, identified
over 1,000 instances where invoice information did not match
what was on file at corporate headquarters. This led to a nearly
50% reduction in overall chargeback rates, within just six
months.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 40

41. Artificial Intelligence helping in
patient care
• .Many apps allow health
professionals to foresee
potential hazards and take
proper precautions now to
avoid them in the future.
Furthermore, predictive
analytics helps healthcare
facilities enhance their
operational management.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 41

42. Future of Artificial Intelligence in
Medicine
•Artificial intelligence
has unimaginable
potential. Within the
next couple of years,
it will revolutionize
every area of our life,
including medicine.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 42

43. Future of Artificial Intelligence in
Medicine
• Artificial intelligence moved
from being a futuristic promise
into a reference point for
innovation. The technology also
started to transform medicine
with great vigor. In the last
couple of years, the number of
A.I.-related studies, research
projects, university courses, and
companies has grown
exponentially, not to speak
about the rapid improvement in
the precision of the technology.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 43

44. What the The Medical Futurist says
• At The Medical Futurist, we are
sure that Artificial Intelligence is
not going to replace medical
professionals; it’s going to be
the stethoscope of the 21st
century and successful
collaboration between humans
and technology could bring us
the positive change in medicine
that we all so strongly wish.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 44

45. Connecting everything and Everyone
• Digital health will give us
more health data than ever
before, and A.I will help us
analyze it to find new ways
to treat diseases, to cut
down on administrative
tasks, to streamline medical
practices, to optimize both
physicians’ and patients’
schedules.
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 45

46. What it the Truth TIME WILL PROVE
MANY MATTERS
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 46

47. References
• Overview of artificial intelligence in medicine
• Amisha,1 Paras Malik,1 Monika Pathania,1 and Vyas Kumar Rathaur2
• Author information Article notes Copyright and License information
• What is artificial intelligence in medicine? IBM
• Pros and Cons of Artificial Intelligence in Healthcare Tech Emergent
• Vamstar
• Optimise Tenders and Source Efficiently with Artificial Intelligence
• Google resources on world wide web for benefit of Medical and
Paramedical professionals
• Medical Futurist
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 47

48. •Program file Created by Dr.T.V.Rao MD for benefit of
Medical paramedical students in developing
countries for benefit of implementing the Artificial
Intelligence in Medical Education
•Dr.T.V.Rao MD
• doctortvrao@gmail.com
Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 48