2. WHAT IS AI ?
Artificial Intelligence (AI) is the
simulation of human intelligence processes
by machines, especially by computer
systems.
Various industries that uses AI:
Automobile, Pharmaceutical industries,
Marketing and manufacturing industries
and finance.
3. INTRODUCTION OF AI IN
HEALTHCARE
Artificial intelligence (AI) has made its way
into almost all aspects of our lives, whether
we know it or not. One of the industries
currently experiencing an explosion of AI
technologies is healthcare and
pharmaceutical industries.
4. AI and robotics goes hand in hand to provide us a
better lifestyle.
5. APPLICATION OF AI IN
HEALTHCARE
Diagnostics
Drug Discovery & Clinical Trials
Radiotherapy and radiology
Gene Editing
Medication Management
Electronic Health Record (EHR)
6. CURRENT SCENARIO
Merck partnership with Numerate in
march 2012 focusing on generating
novel and small drug molecules for
unnamed cardiovascular disease target.
In December 2016 Pfizer and IBM
announced partnership to accelerate
drug discovery in immunooncology.
Many big pharmaceutical industries
began investing in AI in order to
develop better diagnostics to identify
drug targets and to design new drugs
and products.
7. PERSONALIZED TREATMENT
Micro biosensors and devices, mobile
apps with more sophisticated health
measurements and remote monitoring
capabilities, these data can further
be used for R&D
DermCheck: an app available in Google
play store which sent images to
dermatologists.
8. ADVANTAGES OF AI IN
CLINICAL RESEARCH
Cutting cost
Improving trail quality
Reducing trail time by half
Finding biomarkers and gene signatures
that cause diseases
Recruiting trail patients in minutes
Reading volumes of texts and data in
seconds
On the verse of discovering new
diagnostics tools for treatments for
cancer and other chronic diseases.
9. CLINICAL TRIAL RESEARCH
Advanced predictive analysis in identifying
candidates for clinical training
Remote monitoring and real time data access
for any sign of harm or death to participants
Finding best sample sizes for increased
efficiency; addressing and adapting to
differences in sites for patient recruitments;
using electronic medical records to reduce
data errors.
Machine learning: to shape, direct clinical
trails
10. EPIDEMIC OUTBREAK
PREDICTION
To predict malaria outbreaks
from data like temperature,
average monthly rainfall, total
number of positive cases etc
ProMED- mail is a internet
based reporting program for
monitoring emerging diseases
and providing outbreaks reports.
11. RADIOLOGY AND
RADIOTHERAPY
Google's DeepMind Health is
working with University college
London hospital(UCLH) to develop
machine learning algorithms and
capable of detecting differences
in healthy and cancerous
tissues.
12. SMART ELECTRONIC HEALTH
RECORDS
AI to help diagnosis, clinical
decisions and personalized
treatment suggestions
Handwriting recognition and
transforming cursive or other
sketched handwriting into digital
characters.