Back

AI in Medicine: What Every Clinician Needs to Know in 2026

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 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. AI in Medicine: What Every Clinician Needs to Know in 2026 Balancing Innovation and Obligation Ethical Use of AI in Medicine

Credit & MOC Details

Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.

Credit types

AMA PRA Category 1 Credit™Up to 1 credit

MOC types

No MOC

FDA REMS

No

Qualifies for MIPS

No

Pricing

Fee · varies

See fees on massmed.org

Listed by the provider

  • Enduring / On-demand
  • Credit · Up to 1 credit
  • Fee · varies
  • Released
    Jun 17, 2026
  • Last day to claim credit
    Jun 18, 2029 3 years left