Discussions of timely topics in clinical medicine, biomedical research, public health, health policy, and more, featured in the Medical News section of JAMA, th...
Diagnosis and Treatment of Infectious Disease Using AI
A recent study in JAMA Network Open evaluates the use of machine learning algorithms to assess the management of urinary tract infection (UTI). Author Sanjat Kanjilal, MD, MPH, professor in the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Healthcare Institute, joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss this topic and more. Related Content: Researchers Use Machine Learning to Put Older Clinical Guidelines to the Test Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection
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Older Adults’ Use of Digital Health Technology
Digital health technologies, including patient portals, are widely used by older adults, as described in a recent study published in JAMA Network Open. Author Cornelius James, MD, of the University of Michigan joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss the study and how it fits with his own experience in the clinic. Related Content: Study Finds Most Older Adults Use Digital Health Technologies, Plus Some Surprises Use of Digital Health Technologies by Older US Adults
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Patient Satisfaction With AI-Generated Responses
How do patients feel about the quality of AI-generated responses to their messages to clinicians? Author Eleni Linos, MD, DrPH, of Stanford joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her recent study in JAMA Network Open that characterized satisfaction with these messages. Related Content: Study Finds People Prefer AI Over Clinician Responses to Questions in the Electronic Medical Record Perspectives on Artificial Intelligence–Generated Responses to Patient Messages
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January 2025 Medical News Summary
Weight-Loss Drugs Are Reshaping the Future of Bariatric Surgery; Are Compounded GLP-1 Drugs Safe? Will Renaming Some Cancers as Noncancers Hurt or Help? Related Content: What Does the Rise of GLP-1 Drugs Mean for Bariatric Surgery? Patients Are Flocking to Compounded Weight-Loss Drugs, but Are They Safe? Experts Are Debating Whether Some Cancers Shouldn’t Be Called That
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Drafting Replies to Patient Messages With AI
The burden of responding to clinician inbox messages may be a contributor to burnout. Eden English, MD, of UCHealth joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her recent study published in JAMA Network Open, which examined the use of large language models to reply to patient messages. Related Content: Researchers Tested an AI Tool That Drafts Responses to Patient Messages—Here’s What They Found Utility of Artificial Intelligence–Generative Draft Replies to Patient Messages Are Artificial Intelligence–Generated Replies the Answer to the Electronic Health Record Inbox Problem?
Discussions of timely topics in clinical medicine, biomedical research, public health, health policy, and more, featured in the Medical News section of JAMA, the Journal of the American Medical Association.