Dr. Nigam Shah is Professor of Medicine (Biomedical Informatics) at Stanford University, and serves as the Associate CIO for Data Science for Stanford Health Care. Dr. Shah's research focuses on bringing machine learning to clinical use safely, ethically and cost-effectively. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and was inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.
AI/ML-related healthcare products/services have begun changing the healthcare landscape. Watershed events in AI diagnostics include recent FDA approvals in imaging and data integration and guidance for Software as a Medical Device. What role will AI/ML play and what should criteria be for reimbursement as healthcare pivots to value-base models?