Topic Description :
- AI in Healthcare – Artificial intelligence, machine learning and the deep-learning in particular is empowering the use of labeled clinical data – ‘big’ in terms of volume, variability, velocity or scalability – with significantly enhanced computing power and cloud storage. In clinical practice and public health, this is making initial steps to have an impact at these four fundamental levels: for patients, clinicians, health systems & technology providers.
- Addressing Velocity and Scalability
- Using EASE to Deploy and Practice AI in Healthcare – Ethics, Adoption-Principles, Suitability and Explainability
- Applications of Clinical AI in Healthcare – Genomics | Nature Language Processing | Deep Learning | Social Physics | Image Analytics | Hazard Models | Design Thinking – Care Pathways Concepts
Dr. Sujoy Kar
Dr Sujoy Kar is the Chief Medical Information Officer & Vice President at Apollo Hospitals. Previously, he was the Director Medical Services at Apollo Gleneagles Hospitals Kolkata. He obtained his post graduate MD in Clinical Microbiology (& Infectious Diseases) and is an alumnus of MIT Sloan School of Management. He is a Certified Six Sigma Master Black Belt (Indian Statistical Institute) and member of professional organisations like ACHE, VRARA (Member – Healthcare Sub Committee), CHIME and Harvard Square (LE).
Dr Sujoy is currently associated with IIT Kharagpur & IIM Calcutta as Adjunct Faculty for Healthcare Analytics and Management. He has led teams in multiple award winning Patient Safety & Process Improvement projects. His current and ongoing research interests are in adoption of Artificial Intelligence & Blockchain Technology in Healthcare, Time Driven Activity Based Costing, Living Labs, Digital Health Platforms and Design Thinking in Healthcare.