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JAMA + AI Weekly Update MAY 23, 2026

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Weekly Update

May 23, 2026

In this JAMA+ AI Conversations, JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, spoke with Emily Tat, MD, and Peter Brodeur, MD, about the ARISE research network's approach to evaluating clinical AI.

They discuss how trustworthy clinical AI works best when it’s simple, easy to understand, and clearly relevant to patient care. The ARISE network is focused on evaluating AI in real-world clinical settings, with an emphasis on rigorous testing and thoughtful study design.

A key aspect of the conversation is whether current approval processes adequately address real-world safety and benefit, the same standards that would be applied to any other medical intervention.

Listen now on Spotify | Apple Podcasts | YouTube | JAMA.com.

Editor’s Picks in this week’s JAMA+ AI:   

  • AI in mental health care can improve access and quality, but it also risks weakening clinician skills and causing harm if applications are poorly designed and not sufficiently monitored. Realizing the possible benefits requires transparent regulation and clinician education to ensure safe, effective use. (JAMA Psychiatry)
  • As U.S. health care faces workforce shortages and rapid advances in clinical AI, existing FDA regulation may fall short for adaptive systems making unsupervised care decisions. A proposed licensure framework would treat regulation of certain AI tools like clinician credentialing, requiring demonstration of competency and a defined scope of practice, not unlike nurse practitioners and physician assistants. The authors note the need for further federal–state coordination, since much of the credentialing process occurs at the state rather than federal level. (JAMA)
  • A purpose-built AI CPR instructor delivered more guideline-concordant out-of-hospital cardiac arrest instructions than human 911 dispatchers, with near-perfect adherence to AHA criteria and better performance than general AI models. This suggests its potential as an emergency support tool–but only after further validation, safety testing, and clarity about regulation. (JAMA Internal Medicine)

Multimedia

JAMA

Designing Trustworthy Clinical AI

Yulin Hswen, ScD, MPH

Special Communication

JAMA Psychiatry

Artificial Intelligence and the Potential Transformation of Mental Health

Roy H. Perlis, MD, MSc

Perspective

JAMA

A Licensure Framework for Autonomous Clinical AI

Alon Bergman, PhD; Robert M. Wachter, MD; Ezekiel J. Emanuel, MD, PhD

Original Investigation

JAMA Internal Medicine

An Artificial Intelligence–Enabled Cardiopulmonary Resuscitation Instructor

Nimit Desai, BS; Noor Majhail, BS; Mark Dredze, PhD; et al

AUDIO

Designing Trustworthy Clinical AI

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