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.

11/05/25	ML4H: Generative Models for Text and Images: Development and Evaluation [ ]	Akshay Chaudhari, Ph.D. Stanford University
10/01/25	ML4H: The pulse of ethical machine learning in health [ ]	Marzyeh Ghassemi, Ph.D. MIT
06/04/25	ML4H: Artificial Intelligence: Applications, Challenges and Opportunities [ ]	Girish Nadkarni, MD, MPH Mount Sinai
05/07/25	ML4H: Self-Supervised Learning for Patient Phenotyping and Forecasting Adverse Events [ ]	Collin Stultz, M.D., Ph.D. MIT
04/02/25	ML4H: Vision-language Foundation Models for Cardiac Imaging [ ]	Milos Vukadinovic, Ph.D. candidate UCLA
02/05/25	ML4H: Real-World Evidence in the Age of Generative AI [ ]	Tristan Naumann, Ph.D. Microsoft Health Futures
11/06/24	ML4H: Interrogating the quality of a language model’s clinical knowledge [ ]	Danielle Bitterman BWH/DFCI, Harvard Medical School
03/06/24	ML4H: Developing, Validating & Deploying an AI Model to Exceed My Clinical Expertise [ ]	Pierre Elias Columbia University
02/07/24	ML4H: Digital and Quantitative Behavioral Phenotyping in Neurologic Disease [ ]	Brandon Oubre HMS/MGH
01/05/24	ML4H: Translating Personalized Inference from Randomized Clinical Trials to Real-World Clinical Care [ ]	Evangelos Oikonomou and Rohan Khera Yale University
12/06/23	ML4H: Foundation Models in Healthcare - Reinventing the Eye Exam [ ]	Pearse Keane and Yukun Zhou University College London
11/01/23	ML4H: AI for Cardiac Image Acquisition, Analysis, and Interpretation [ ]	Daniel Rueckert Technical University of Munich Imperial College London