Activity

Activity ID

15053

Expires

June 17, 2029

Format Type

Enduring

CME Credit

1.00

Fee

$0

CME Provider: Massachusetts Medical Society

Description of CME Course

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.

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ABMS Member Board Approvals by Type
More Information
Commercial Support?
No

NOTE: If a Member Board has not deemed this activity for MOC approval as an accredited CME activity, this activity may count toward an ABMS Member Board’s general CME requirement. Please refer directly to your Member Board’s MOC Part II Lifelong Learning and Self-Assessment Program Requirements.

Educational Objectives

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.

Competencies

Medical Knowledge

CME Credit Type

AMA PRA Category 1 Credit

Practice Setting

Academic Medicine, Inpatient, Outpatient, Physician Executives, Physician Scientists, Rural, Urban, VA/Military

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