
In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Eric Topol, MD, move from the science of aging to how to think about AI-enabled medicine. Topol discusses what it will take for AI to move medicine from reactive to predictive, why some well-validated imaging AI remains underused while large language models have spread rapidly, and whether AI is actually giving clinicians more time with patients. Related Content: From Aging to AI and Beyond
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From the JAMA Network: Acoustic Analysis of Primary Care Patient–Clinician Conversations to Screen for Cognitive Impairment

From the JAMA Network: AI Scribes Are Here, but Is Health Care Ready?
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