RCT: #AI-augmented personalized expert instruction enhances #surgical performance, skill transfer, and cognitive-emotional responses compared to AI tutor instruction alone. ja.ma/3IViKQO

Will 2026 be the year of real-world evidence that #AI can actually improve patient care? JAMA+ AI EIC Roy Perlis, MD, MSc, and Associate Editor Yulin Hswen, ScD, MPH, discuss in this special episode marking 1 year since the launch of JAMA+ AI: ja.ma/4h80OPK

How will 2026 shape the world of #AI in health? JAMA+ AI Editor in Chief Roy Perlis and Associate Editor Yulin Hswen discuss in this special episode marking one year since the launch of JAMA+ AI. Listen now: ja.ma/3KS1Fbd

📝 Editor's Note: The JAMA Network invites research submissions on #AI in clinical settings, prioritizing rigorous methodologies and validation for informed medical practice. 🔗 ja.ma/43wa5LB

From JAMA Health Forum: Model drift can reduce the reliability of clinical prediction models, particularly during health system disruptions. ja.ma/49ckJuA

From JAMA Health Forum: Model drift may reduce the reliability of clinical prediction models, particularly during health system disruptions. ja.ma/4hvhcK8

From JAMA Oncology: Cisplatin treatment decreased kidney function, with lower baseline eGFR patients at higher CKD risk, and a pretreatment eGFR-based model effectively predicted this risk for clinical use. ja.ma/3JgxlXi

Editor's Note: The JAMA Network invites research submissions on #AI in clinical settings, prioritizing rigorous methodologies and validation for informed medical practice. ja.ma/4hvYi5U

From JAMA Health Forum: FDA-cleared #AI medical devices often experience recalls shortly after clearance, particularly those without clinical validation and produced by publicly traded companies. ja.ma/4qpQExN

From JAMA Network Open: Among patients with hepatocellular carcinoma, a machine learning-based decision-support model estimated accurate risk stratification and identified improved survival and identification of liver transplant candidates. ja.ma/49mnF81

Last year's Summit joined together 50+ thought leaders with expertise on how #AI is developed, evaluated, regulated, and implemented across clinical health care domains. As a result, the JAMA Summit Report explores the state of AI in medicine: ja.ma/46JX4QN

How is artificial intelligence being used in health care? In this podcast, JAMA+ AI EIC Roy Perlis speaks with Derek Angus about the pace of #AI adoption in clinical practice. Listen now: ja.ma/4omOtJP

From JAMA: Among preterm infants with severe thrombocytopenia, this modeling study found variation among individuals in predicted benefits and harms of prophylactic platelet transfusion based on their current clinical characteristics. ja.ma/4owT4Jf

In this episode of JAMA+ AI Conversations, JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, speaks with Ajamete Kaykas, PhD, chief exploration officer at insitro, a biotech company aiming to combine machine learning with wet lab work. ja.ma/4i0724y

Among preterm infants with severe thrombocytopenia, this modeling study found substantial variation among individuals in predicted benefits and harms of prophylactic platelet transfusion based on their current clinical characteristics. ja.ma/48dTXkA

Manufacturers of more than 90% of FDA-listed #AI- and machine learning–enabled devices publicly disclosed no payments to clinicians or teaching hospitals from 2017-2023, but the dollar amount of general payments doubled in that time frame. ja.ma/4nT82IQ

Will #AI usher in a new era of rapid drug discovery? In this episode of JAMA+ AI Conversations, Editor in Chief Roy Perlis, MD, MSc, interviews Ajamete Kaykas, PhD, Chief eXploration Officer at insitro. Listen now: ja.ma/4qWb0PC

#AI translation of pediatric inpatient discharge instructions was comparable to professional translation for Spanish, but performed worse for Chinese, Vietnamese, and Somali. ja.ma/4iikRvr

For textual questions, current foundation models showed improvements in #ophthalmological knowledge reasoning when compared with older #LLMs and ophthalmology trainees, with performance comparable with that of expert ophthalmologists. ja.ma/49T1RkL

Are we trading critical thinking for convenience—& risking cognitive complacency—with the rise of #AI in medicine? JAMA+ AI EIC Roy Perlis, MD, MSc, & Associate Editor Yulin Hswen, ScD, MPH, discuss what this could mean for the future of clinical care. 🎧ja.ma/3XvjWxU