AI4H Indian perspective - ITU...2019/01/22 · Indian healthcare –challenges Access to quality...
Transcript of AI4H Indian perspective - ITU...2019/01/22 · Indian healthcare –challenges Access to quality...
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AI4H – Indian perspective
SAURABH KUMAR GUPTA
ASSOCIATE PROFESSOR OF CARDIOLOGY
AIIMS, NEW DELHI
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Indian IT & ICT sectorIndia has the 2nd largest telecommunication network in the world
900 Million Indians are expected to use mobile internet by 2025
India has a large pool of experts in IT & ICT sector
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Indian healthcare – strengthsWorld class facilities exists - an estimated 0.9 million allopathic doctors
Indian doctors have established themselves globally
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Indian healthcare – challengesAccess to quality healthcare remains an issue
There is only 1 doctor for every 1668 people
~75% doctors practice in urban areas servicing only 28% population
Thus, 25% doctors caters to 76% population
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Indian healthcare – challengesAccess to quality healthcare remains an issueThere is only 1 doctor for every 1668 people
~75% doctors practice in urban areas servicing only 28% population
Thus, 25% doctors caters to 76% population
One of the highest out of pocket expenditure for healthcare
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Challenges in quality healthcareExponentially increasing patient data
Exponentially increasing super-specialization of healthcare
No standard policy of data keeping and data sharing
Problems of human nature Bias related to recent experiences
Therapeutic illusion
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Unfortunately..Modern healthcare is no where close to ‘sigma six’
Medical errors remains 3rd most common cause of death
We continue to rely on “one size fits all” approach
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What AI can offer at this stageDescriptive –Permits understanding of huge amount data being generatedMost feasible in short term
Predictive –To assist management planning Medium term
Prescriptive –Guide the healthcare sector in identifying and defining the unknown
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Health professionals are anxious
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Instead, we should aim for ..
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AI4H in IndiaA large pool of IT, ICT and health professionals makes it ideal
AI adopted & applicable in India - applicable to 40% of world’s population
An environment of innovations have prompted many startups to join
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AI4H in India – focus areasBridging the problems of access to quality healthcare
Providing preventive healthcare and early diagnostics
Standardization of data collection and maintenance
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AI4H in India – a success story in makingPublic and private sectors have joined hands to bring about the change
Experts from all sectors are coming together to make best use of AI
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AI4H in India – GOI initiativesNeHA (National eHealth Authority) formulated in 2015
MHFW & National law school – Health data privacy & security act
AI task force was created in 2017National Institution for Transforming India (NITI Aayog)
Ministry of Electronics & information technology
Department of Science & Technology
Unique IDentification Authority of India (UIDAI)
New National IPR policy themed ‘Creative India; Innovative India’ in 2016
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AI4H in India – Indian hospital’s initiativesAravind eye care systems collaborated with Google brain for retina scans
Manipal hospitals collaborated with IBM Watson
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As a result….
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AI4H is in the forefront of startup industryDigital India program July 2015
Atal Innovation Mission 2017
Multitude of funding agencies to support technological innovation
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http://www.qure.ai
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https://www.wysa.ioA chatbot to help people with mental health problems
Enable searly detection & suggestion to visit physician
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https://www.niramai.comEarly detection of breast cancer by non-invasive thermography
Uses patented Thermolytix & SMILE tool
Award winnerAmazon AI conclave 2017
Aegis Graham Bell award 2017
Axilor summer summit Award 2017
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http://artelus.com
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And at least 50 more AI4H companiesAdvenio technosys – medical images
Orbuculum – predicting cancer, diabetes, CVD using genomic data
Cureskin – skin lesions diagnosis
Ten3T – wireless patch for monitoring HF patients
Singtuple – analysis of blood slides to generate pathology reports
ICMR funded AI tool for detection of cervical cancer
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ICMR guided AMR surveillance network AI based prediction of antibiogram – 90% accuracy
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AI companies
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Academia is not behind..Masters in AI is at leadings IT institutions – both public & private
Postdoc fellowships for doctors is becoming common
Bachelors in AI is being adopted rapidly
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Citable research in AI (2010- 2016)
Scimago Journal and Country Rank (SJR)
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Data managementData is the smallest and probably the most important unit of AI ecosystem
1.19 Billion AADHAR cards
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AIRAWAT (AI research, Analytics and knoWledge Assimilation plaTform)
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Some other proposed clinical area for AIComplex decision making analysis – cardiac electrophysiology
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Differentiating VT (life threatening) from SVT
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Some other proposed clinical area for AIEnhanced 3D visualization of cardiac structural malformations
Improved understanding of cardiac morphology obviating heart specimens
For better surgical/ interventional planning
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SummaryAI provides ‘once in a life-time opportunity to bring change
Indian public & private sector is committed to develop Accurate, creditable, responsible and preferably explainable AI4H
AI validated in India is directly applicable to nearly half of the World
Data privacy, sharing and security issues remains to be answered
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In nutshell..
India is ready, willing and able to develop and deploy AI4H
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Thank you