health AI hub
Health AI Hub Collaboratory Rounds bring together experts and practitioners to share and explore various aspects of AI lifecycle management in healthcare. These monthly gatherings are designed to keep you informed about the latest trends, best practices, and challenges in the dynamic field of healthcare AI.
Date and Time
November 19 at 2 PM EST / 11 AM PST
After registering, you will receive a confirmation email with the link to join the meeting.
Topic
Humans and AI in clinical care: rethinking oversight and evidence
Session Description
As AI systems begin to match or outperform clinicians on defined tasks, “human in the loop” stops being a safe default. Adam Rodman, MD, MPH, of Beth Israel Deaconess Medical Center and Harvard Medical School, will discuss what human-computer interaction should look like when the AI may know more than the person overseeing it, and where humans belong in these systems: in the loop, on the loop, or somewhere else. He will also share lessons from his own clinical trial work on patient-facing generative AI.
Speakers
Adam Rodman, MD, MPH, FACP
Adam Rodman, MD, MPH, is an Associate Professor of Medicine at Harvard Medical School and a practicing internist at Beth Israel Deaconess Medical Center. His research focuses on clinical reasoning, human-AI collaboration, and the safe integration of artificial intelligence into clinical care. He leads studies examining how increasingly capable AI systems perform alongside physicians, affect clinical decision-making, and can be incorporated into care while preserving judgment, accountability, and the physician-patient relationship. His work has appeared in Science, The Lancet, JAMA, Nature, and the New England Journal of Medicine. He has also served as a visiting researcher at Google DeepMind and is a 2026 National Academy of Medicine Scholar in Diagnostic Excellence.
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Securing and Building AI Trust Infrastructure
September 17, 2026
Hidden Essentials for AI Success
February 19, 2026
From Ideas to Impact: Hackathons Driving Health AI Innovation
January 29, 2026
Sustainably Advancing Health AI (SAHAI) Framework
November 20, 2025
An experience-led approach to digital and AI transformation
October 30, 2025
The AI Policy Landscape: Fragmentation or Framework?
July 31, 2025
The Future of AI Clinician Copilots
March 24, 2025
Who Is—and Who Should Be—Liable for Medical AI Errors?
February 27, 2025
Red-teaming AI Systems in Healthcare
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AI Enablement at Mayo Clinic
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LLMs, Bias, and the Implications for Equitable Healthcare
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Current Use and Evaluation of Predictive Models in US Hospitals
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Health AI Rights Developed By Patients For Patients
May 30, 2024
Understanding the AI Taxonomy: CPT Codes and the Pathway to Payment
February 29, 2024
Encoding Bioethics: AI in Clinical Decision Making
January 31, 2024