Uploaded January 2026 | Updated September 2026, 2 weeks ago
In this video, Girish Nadkarni (Mount Sinai) presents 'Artificial Intelligence: Applications, Challenges and Opportunities'.
Presentation Date: 06/04/25
Bio: Dr. Girish N. Nadkarni is a physician-scientist and clinical informaticist, whose career is marked by leadership in artificial intelligence (AI) and clinical medicine. He is currently the Fishberg Professor of Medicine, Chair of the Windreich Department of Artificial Intelligence and Human Health, Director of the Hasso Plattner Institute for Digital Health and Inaugural Chief AI Officer for the Mount Sinai Health System. He has spearheaded transformative and translational research leading to 460 original peer-reviewed research and 52 invited publications with over 40,000 citations and an h-index of 93. These include senior authored papers in journals including Journal of American Medical Association, Annals of Internal Medicine, and Nature Medicine. His work has advanced fields including precision cardiovascular and kidney care, including landmark studies using AI on electrocardiograms for predicting outcomes, understanding impact of predictive AI in healthcare, AI-bioprognostics for kidney disease and several studies on APOL1 genetic risk for kidney disease. Dr. Nadkarni's innovations extend to entrepreneurship, where he co-founded several companies that have pioneered AI-based approaches, with some receiving FDA clearance. He is principal investigator for seven concurrent R01 grants or equivalents, three industry contracts and two NIH contracts for a cumulative amount of ~$40 million. Additionally, he holds numerous patents on AI and predictive applications in healthcare and co-invented the first FDA approved AI-bioprognostic for kidney disease. His influence is reflected in external leadership roles, including Chair of the Taskforce on AI/Digital Health and Associate Editor of NPJ Digital Medicine. His mentorship has seen many of his mentees attain independent faculty roles, underscoring his commitment to fostering future leaders in medicine. He has received several honors including the ANIO rising star award, the Carl Nacht Memorial lecture and the Harold Lamport clinical research award.
For more information, visit: broadinstitute.org/ml4h
Copyright Broad Institute, 2025. All rights reserved.
In this video, Girish Nadkarni (Mount Sinai) presents 'Artificial Intelligence: Applications, Challenges and Opportunities'.
Presentation Date: 06/04/25
Bio: Dr. Girish N. Nadkarni is a physician-scientist and clinical informaticist, whose career is marked by leadership in artificial intelligence (AI) and clinical medicine. He is currently the Fishberg Professor of Medicine, Chair of the Windreich Department of Artificial Intelligence and Human Health, Director of the Hasso Plattner Institute for Digital Health and Inaugural Chief AI Officer for the Mount Sinai Health System. He has spearheaded transformative and translational research leading to 460 original peer-reviewed research and 52 invited publications with over 40,000 citations and an h-index of 93. These include senior authored papers in journals including Journal of American Medical Association, Annals of Internal Medicine, and Nature Medicine. His work has advanced fields including precision cardiovascular and kidney care, including landmark studies using AI on electrocardiograms for predicting outcomes, understanding impact of predictive AI in healthcare, AI-bioprognostics for kidney disease and several studies on APOL1 genetic risk for kidney disease. Dr. Nadkarni's innovations extend to entrepreneurship, where he co-founded several companies that have pioneered AI-based approaches, with some receiving FDA clearance. He is principal investigator for seven concurrent R01 grants or equivalents, three industry contracts and two NIH contracts for a cumulative amount of ~$40 million. Additionally, he holds numerous patents on AI and predictive applications in healthcare and co-invented the first FDA approved AI-bioprognostic for kidney disease. His influence is reflected in external leadership roles, including Chair of the Taskforce on AI/Digital Health and Associate Editor of NPJ Digital Medicine. His mentorship has seen many of his mentees attain independent faculty roles, underscoring his commitment to fostering future leaders in medicine. He has received several honors including the ANIO rising star award, the Carl Nacht Memorial lecture and the Harold Lamport clinical research award.
For more information, visit: broadinstitute.org/ml4h
Copyright Broad Institute, 2025. All rights reserved.
