AI in Medicine: What Every Clinician Needs to Know in 2026 – MMS Spring Oration
Artificial intelligence (AI) technologies may be the most rapidly adopted health technology in generations, touching everything from how we access information, manage data, to even patient communication. This course (recorded May 15, 2026) focuses on a “big picture” for AI in
the year 2026, with a particular focus on reasoning technologies (which appear to “think” like human experts) and agentic workflows (which can accomplish tasks over long periods of time). This course will cover these foundational concepts, review
recent changes in the regulatory environment and technological innovations, provide data from the latest clinical trials, and summarize ongoing discussions about future models of care. This course is designed to ground clinicians in high level discussions
that are going on in boardrooms, CEO offices, and government regulators today.
This course is one of three courses in our AI learning series. Each course explores different aspects of AI and builds a broader understanding of how these tools can be used effectively. We encourage participants to complete the full series.
Faculty
Adam Rodman, MD, MPH, FACP
Adam
Rodman is a general internist and medical educator at Beth Israel Deaconess Medical Center and an Assistant Professor of Medicine at Harvard Medical School. He is the Director of AI Programs at the Carl J. Shapiro Institute for Research and Education
at BIDMC, and he leads the steering group for integration of AI into the medical school curriculum. He is also a visiting researcher at Google DeepMind, where he works on oversight systems for patient-facing AI. He also serves as an Associate Editor
at NEJM AI.
Dr. Rodman's research focuses on clinical reasoning, medical education, and the integration of AI into triadic (patient-AI-physician) care models. He co-founded the ARISE research network with Jonathan Chen at Stanford and has
served as principal investigator on multiple randomized controlled trials, including the first pre-registered clinical trial of a patient-facing AI system. He also co-founded the iMED Initiative with Shreya Trivedi to study the impacts of digital
technologies on medical learning. His work is currently supported by the NIH, ARPA-H, the Gordon and Betty Moore Foundation, the Macy Foundation, and Google Research.
He is the author of Short Cuts: Medicine, a featured instructor in MasterClass,
and hosts the American College of Physicians podcast Bedside Rounds. His research and commentary are frequently covered by international news media. Dr. Rodman completed his residency in internal medicine at Oregon Health and Science University and
his global health fellowship at Beth Israel Deaconess Medical Center, which included clinical work in Molepolole, Botswana. He lives in Boston with his wife and two young sons.
Intended Audience
This activity is designed for physicians, physicians-in-training, other health care leaders and professionals and students.
Course Objectives
Upon completion of this activity, learners should be able to:
- Define reasoning models and agentic workflows as of 2026.
- Describe current regulatory environment for AI-enabled workflows.
- Summarize the evidence around large language model (LLM) integration in healthcare, including clinical trials.
- Explain the frameworks of “dyadic” and “triadic” care models and how they will impact clinical work in the near future.
Accreditation & Credit Information
Accreditation Statement
The Massachusetts Medical Society is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
AMA Credit Designation Statement
The Massachusetts Medical Society designates this enduring material for a maximum of 1.00 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation
in the activity.
National Commission on Certification of Physicians Assistant (NCCPA)
Physician Assistants may claim a maximum of 1.00 Category 1 credit for completing this activity. NCCPA accepts AMA PRA Category 1 Credit™ from organizations accredited
by ACCME or a recognized state medical society.
Course Fees:
Massachusetts Medical Society (MMS) Physician Member: $40.00
MMS Resident/Student Member: FREE
Non-Member Physician: $90.00
Non-Members Resident/Student: $20.00
Allied Health Professional/Other: $32.00
Activity Term:
Original Release Date: June 17, 2026
Review Date(s): N/A
Termination Date: June 17, 2029
Exam/Assessment: A score of 70% or higher is required to receive AMA PRA Category 1 Credit(s)™.
Format and Estimated Time to Complete: Video recording / 1 hour
System Requirements
Desktops/Laptops
Windows 10
Mac OSX 10.6 higher
Most modern browsers including
IE 11+
Firefox 18.0+
Chrome latest version
Safari 12+
Mobile/Tablet
iOS devices beginning with OS version 10 or higher (includes, iPhone, iPad and iTouch devices)
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Contact Us
Contact us at nejmcust@mms.org or (800) 843-6356. Massachusetts Medical Society, 860 Winter Street, Waltham, MA 02451.
