ARTIFICIAL INTELLIGENCE IN INFECTIOUS DISEASES by Dr.T.V.Rao MD

1. ARTIFICIAL
INTELLIGENCE IN
INFECTIOUS DISEASES
Dr.T.V.Rao MD
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 1

2. INFECTIOUS DISEASES ARE
CHALLENGES TO MODERN
MEDICAL CARE
• Over the past few
years, emergent
threats posed by
infectious diseases
and bioterrorism
have become
public health
concerns that have
increased the need
for prompt disease
outbreak warnings
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 2

3. Data generated from
past is used for future
predictions
• In most of the existing
disease surveillance
systems, disease
outbreak risk is
assessed by the
detection of disease
outbreaks.10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 3

4. INFORMATION
TECHNOLOGY A EMRGING
TOOL IN MEIDICNE AND
HEALTH CARE
• Information technology
continues to play a
major role in the
diagnosis and delivery
of information to
stakeholders in the
healthcare sector.10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 4

5. AI applications
in Medicine
10/4/2018
• The primary aim of health-related
AI applications is to analyze
relationships between prevention
or treatment techniques and
patient outcomes. AI programs
have been developed and applied
to practices such as diagnosis
processes, treatment protocol
development, drug development,
personalized medicine, and
patient monitoring and care
Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 5

6. Better Decision Making
Through Modeling
• The practice of monitoring
infectious-disease processes
has traditionally relied heavily
on surveillance and expert
opinion. Once the surveillance
data are collected, public-
health officials consult with
subject-matter experts, and
appropriate measures to
control an infectious-disease
outbreak are designed and
implemented.
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 6

7. Creating algorithm
• To create the algorithm, the
researchers used data,
including behavioral,
demographic and epidemic
disease trends, to create a
model of disease spread that
captures underlying population
dynamics and contact patterns
between people.
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 7

8. Algorithm creates predicting the
matters on prominent diseases
• Using computer simulations, the
researchers tested the algorithm on
two real-world cases: tuberculosis
(TB) in India and gonorrhea in the
United States. In both cases, they
found the algorithm did a better job
at reducing disease cases than
current health outreach policies by
sharing information about these
diseases with individuals who
might be most at risk.
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 8

9. Modelling is a
Public Health
tool
• Modeling is an attractive
public-health tool
because of its ability to
estimate an outbreak’s
trajectory and the effects
of possible control
measures in a timely
manner
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 9

10. HOW THE ELTRONIC
DATA COLLECTED
WILL PREDICT FUTRE
NEEDS
• There is currently an
onslaught of data derived
from electronic health
records, health exchanges,
and other digital sources,
which provides real-time,
detailed information on
various infectious-disease
processes and outbreaks
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 10

11. The Lancet Endorses the Importance of
Internet based surveillance
• A study published in 2013 in
the journal The Lancet
confirmed that Internet-based
surveillance can detect
outbreaks of infectious
diseases such as influenza and
dengue fever one to two
weeks sooner than traditional
reporting methods,
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 11

12. Out breaks can be predicted
early
• The Lancet study
also revealed that
search data was
able to detect the
SARS outbreak more
than two months
before any WHO
publications, but as
of August 2014
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 12

13. Artificial Intelligence is a potential helpful
resource
• Artificial Intelligence is a
potential helpful resource to
monitor infectious disease
outcomes, vaccine uptake, and
adverse drug reactions. These
technologies are now widely
deployed throughout the
healthcare sector, and they
provide an opportunity to
facilitate change in the way
infectious diseases are detected,
and potentially diagnosed and
treated.
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 13

14. Artificial Intelligence
shaping the future of
Medicine
• AI will assist healthcare
providers in using the
collected data in more
cohesive ways, providing the
key ingredients to making
smarter health systems that
help healthcare providers care
for the patient and change the
trajectory of healthcare.
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 14

15. Success story of Artificial
intelligence
Predicting Dengue Fever
Outbreaks
1
5
• The platform was the result of more than two
years research effort and several
months of machine learning analysis.
It has been adopted by the Malaysian
government and regional
governments in Brazil and the
Philippines and its creators claim it
has an accuracy of 86.37%. They say it
is able to provide the exact
geolocation and date of the next
dengue outbreak, up to three months
in advance.
10/4/2018
Dr T.V.Rao MD @Artificial intilligence in Infectious diseases

16. Early forecasts helps
for greater actions
• Early detection of
outbreaks can give
authorities and medical
and healthcare
professionals valuable
time to take pre-
emptive actions such as
the fumigation of zones
likely to be affected.
Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 10/4/2018 16

17. Many are developing
Artificial intelligence and
incorporating in Health care1
7
• Medical institutions such as
The Mayo Clinic, Memorial
Sloan Kettering Cancer Center,
Massachusetts General
Hospital, and National Health
Service, have developed AI
algorithms for their
departments. Large
technology companies such as
IBM and Google, and startups
such as Welltok and Ayasdi,
have also developed AI
algorithms for healthcare.
10/4/2018
Dr T.V.Rao MD @Artificial intilligence in Infectious diseases

18. Max Tegmark, President of
the Future of Life Institute
says
10/4/2018
• Everything we love about
civilization is a product of
intelligence, so amplifying our
human intelligence with
artificial intelligence has the
potential of helping civilization
flourish like never before – as
long as we manage to keep the
technology beneficial.“
Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 18

19. • Program Created by Dr.T.V.Rao MD from Web based
resources for awareness to Medical professionals
working in the developing countries
• Email
• doctortvrao@hotmail.com
10/4/2018 Dr T.V.Rao MD @Artificial intilligence in Infectious diseases 19