ML4H Clinical AI Seminar Series

The ML4H Clinical AI Seminar Series features talks and lectures from leading experts at the intersection of AI and medicine. Topics span generative and foundation models, ethical and responsible AI, self-supervised learning, and real-world clinical applications.

For collaboration inquiries or speaker suggestions, please contact: ml4h@broadinstitute.org.

 

04/01/26 ML4H: Advancing from Medical Imaging to Digital Twins
[ video ]
Stephen Aylward
NVIDIA
03/04/26 ML4H: Escaping the AI Rut: Reimagining Learning, Purpose, and Power in Medicine
[ video ]
Leo Celi, M.D., M.Sc., MPH 
MIT
11/05/25 ML4H: Generative Models for Text and Images: Development and Evaluation
[ video ]
Akshay Chaudhari, Ph.D.
Stanford University
10/01/25 ML4H: The pulse of ethical machine learning in health
[ video ]
Marzyeh Ghassemi, Ph.D.
MIT
06/04/25 ML4H: Artificial Intelligence: Applications, Challenges and Opportunities
[ video ]
Girish Nadkarni, MD, MPH
Mount Sinai
05/07/25 ML4H: Self-Supervised Learning for Patient Phenotyping and Forecasting Adverse Events
[ video ]
Collin Stultz, M.D., Ph.D.
MIT
04/02/25 ML4H: Vision-language Foundation Models for Cardiac Imaging
[ video ]
Milos Vukadinovic, Ph.D. candidate
UCLA
02/05/25 ML4H: Real-World Evidence in the Age of Generative AI
[ video ]
Tristan Naumann, Ph.D.
Microsoft Health Futures
11/06/24
Danielle Bitterman
BWH/DFCI, Harvard Medical School
03/06/24
Pierre Elias
Columbia University
02/07/24
Brandon Oubre
HMS/MGH
01/05/24
Evangelos Oikonomou and Rohan Khera
Yale University
12/06/23
Pearse Keane and Yukun Zhou
University College London
11/01/23
Daniel Rueckert
Technical University of Munich
Imperial College London