ARTIFICIAL INTELLIGENCE ROLE IN HEALTH CARE by Dr.T.V.Rao MD

1. ARTIFICIAL INTELLIGENCE
ROLE IN HEALTH CARE
Dr.T.V.Rao MD
2/7/2019 Dr T.V.Rao MD @Artificial intelligence 1

2. Artificial Intelligence (AI)
Dr T.V.Rao MD @Artificial intelligence
• Techopedia explains
Artificial
Intelligence (AI) is a
branch of computer
science that aims to
create intelligent
machines. It has
become an essential
part of the
technology industry.
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3. The core problems of
artificial intelligence include
programming computers for
certain traits as:
• Knowledge
• Reasoning
• Problem solving
• Perception
• Learning
• Planning
• Ability to manipulate
and move objects
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4. Knowledge
engineering
• Knowledge
engineering is a core
part of AI research.
Machines can often
act and react like
humans only if they
have abundant
information relating to
the world.
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5. Machine
learning
• Machine learning is also
a core part of AI.
Learning without any
kind of supervision
requires an ability to
identify patterns in
streams of inputs,
whereas learning with
adequate supervision
involves classification
and numerical
regressions
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6. Knowledge moving from Errors to
Accuracy
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7. Robotics
• Robotics is also a
major field related
to AI. Robots require
intelligence to
handle tasks such as
object manipulation
and navigation,
along with sub-
problems of
localization, motion
planning and
mapping.
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8. Machine
perception
• Machine perception
deals with the
capability to use
sensory inputs to
deduce the different
aspects of the world,
while computer vision
is the power to analyze
visual inputs with a
few sub-problems such
as facial, object and
gesture recognition.
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9. Artificial Intelligence shaping
future Medicine
• The potential of artificial
intelligence for making
healthcare better is
indisputable. The question
is how to integrate it
successfully into our
healthcare systems. For
doing so, we have to
overcome technical,
medical limitations, as well
as regulatory obstacles,
soothe ethical concerns
and mitigate the tendency
to oversell the technology.2/7/2019 Dr T.V.Rao MD @Artificial intelligence 9

10. The medical community
should not fall for the
fearmongering around A.I.
• At the dawn of the Fourth
Industrial Revolution,
automation and
digitization are turning
the job market upside
down. Many fear that
robots, A.I., and
automation, in general,
will take their jobs
without alternatives.
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11. Fear of losing the Job
Potentials
• The same anxieties
emerged in healthcare
about artificial
intelligence taking the
place of radiologists,
robots surpassing the
skills of surgeons, or
taking jobs in pharma.
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12. Complex digital
technologies require
competent
professionals
• More and more
sophisticated digital
health solutions will
require the
competence of
qualified medical
professionals, no
matter whether it’s
about robotics
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13. Future of Digital
Health
• Only digital health can bring
healthcare into the 21st
century and make patients
the point-of-care. We
prepare everyone in
healthcare for the adoption
of innovative, disruptive
and smart technologies
while keeping the human
touch. – Dr. Bertalan Meskó
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14. Increasing
demands of
Patients
• Compassionate care is
paying attention to the
needs of the others,
listening to spoken or
noticing unspoken
wishes, imagining the
other person’s situation
and expressing acts of
empathy to lessen
suffering, pain or
distress.
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15. A global health workforce shortage is
imminent…
• Experts are pessimistic when it
comes to the human resources
situation in healthcare. There
are worrying tendencies about
the off-balance of supply and
demand of medical
professionals. According to The
Medical Futurist Institute, the
needs-based shortage of
healthcare workers globally is
about 17.4 million.
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16. WHO Forecasts Global shortage of
Health care Professionals
• The WHO’s Global Strategy on Human Resources for Health:
Workforce 2030 reports that shortages can mount up to 9.9
million physicians, nurses and midwives globally by 2030. The
U.S. could see a lack of up to 120,000 physicians by 2030,
according to a report published in April 2018 by the Association
of American Medical Colleges. In the next 10-12 years,
Southeast Asia will need approximately 4.7 million more health
workers to achieve sufficient coverage, while the Western
Pacific zone, which includes regional heavyweights such as
China, South Korea, and Japan, will be missing roughly 1.4
million people.
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17. while populations are
growing, aging and
suffer from more
chronic diseases
• The number of the Earth’s
human inhabitants is
increasing day by day. The
World Population Counter
says that there are three
times more births than
deaths on a given day,
while more than 7.6
billion people populate
the Earth at the moment.
That’s an insanely growing
number.
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18. Ageing Population is Great
Concern and shortage of
Health care Professionals
and Resources
• At the same time, life
expectancy is widening, and
populations are aging.
According to data from World
Population Prospects: the 2017
Revision, the number of older
persons — those aged 60 years
or over — is expected to more
than double by 2050 and to
more than triple by 2100, rising
from 962 million globally in
2017 to 2.1 billion in 2050 and
3.1 billion in 2100.
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19. Artificial intelligence
cannot solve all the
issues in health
• By all means, we need to
emphasize that practicing
medicine is not a linear
process. Not every single
element and parameter can
be translated into a
programming language –
but there are areas where
ANI could definitely
improve patient outcomes
and ease the burden on
medical staff.
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20. Implementation of
Artificial Intelligence
a true challenge
• However, the question we
always have to face is how
we translate the vast
potential of artificial
intelligence into everyday
life. After the very first
step – getting to know the
most possible about A.I.
in healthcare -, we should
get a clearer picture of the
obstacles.
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21. Better regulations to
Control Artificial
Intelligence ?
• The FDA approved the first
cloud-based deep learning
algorithm for cardiac imaging
developed by Arterys in 2017;
which is a huge step towards the
future. However, regulations
around artificial intelligence
generally lag behind or are
literally non-existent.
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22. Future Decision
making with Artificial
Intelligence
• With the technology
gaining ground and
appearing in
hospitals within the
next 5-10 years,
decision-makers and
high-level policy-
makers cannot allow
themselves not to
tackle the issue.
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23. Bio Ethics and
Artificial
Intelligence
• The development of digital health
technology causes many concerns
regarding bioethics. Here are 10 examples
why people should not be afraid of, but
rather embrace the advancements of such
technologies.
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24. Artificial intelligence
Cannot replace empathy ?
• Even if the array of
technologies will offer brilliant
solutions, it would be difficult
for them to mimic empathy.
Why? Because at the core of
empathy, there is the process
of building trust: listening to
the other person, paying
attention to their needs,
expressing the feeling of
compassion and responding in
a manner that the other
person knows they were
understood.
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25. Complex digital technologies
require competent professionals
• More and more sophisticated
digital health solutions will
require the competence of
qualified medical professionals,
no matter whether it’s about
robotics or A.I. Take the example
of the most commonly known
surgical robot, the da Vinci
Surgical System. It features a
magnified 3D high-definition
vision system and tiny wristed
instruments that bend and rotate
far greater than the human hand.
However, surgeons have to learn
how to operate it, and it takes
practice to master it.
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26. The vison of
Medical Futurist
• The Medical Futurist believes
that this is the perfect
example for the coming
decades. Technology will help
bring medical professionals
towards a more efficient, less
error-prone and more
seamless healthcare. Our team
insists on the usage of digital
tools as we are confident that
if utilized in the right way –
ethical and legal concerns
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27. Emerging utilities in
Artificial
Intelligence
• University of Iowa Hospitals &
Clinics have used machine learning
to reduce surgical site infections by
74% over the past three years,
according to Healthcare ITDr T.V.Rao MD @Artificial intelligence 2/7/2019 27

28. Reasons we need Artificial Intelligence
• Although AI systems
are expensive and
often tricky to
implement, the
benefits of predictive
analytics can save
lives and cut down
on readmissions.
Plus, they can
eventually result in
cost savings down
the line.
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29. WILL THE ARTIFICAL
INTILLIGENCE BE PART
OF LIVES ?
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30. References and Scientific resources
• 5 Reasons Why Artificial Intelligence Won’t Replace Physicians, The
Medical Futurist 24 May 2018
• Techopedia web resources
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31. Program Created by Dr.T.V.Rao MD for
benefit of Medical Nursing and Health care
Professionals in the Developing Wor
Email
doctortvrao@gmail.com
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