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by JAMA Network
Discover the future of medicine with JAMA+ AI Conversations. This collection of interviews with clinicians, researchers, and AI experts explores how AI is impacting medicine – from clinical practice to training and research. Join us to uncover what lies ahead at the intersection of AI and medicine.
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In this episode, Roy Perlis, MD, MSc, and technology journalist Kevin Roose explore how rapidly changing AI is reshaping writing, medicine, and expectations for scientific discovery. They revisit Roose's famous 2023 encounter with Microsoft's Sydney chatbot and consider whether health care may ultimately be better served by AI systems that operate with less human oversight. Related Content: A Technology Journalist Looks at AI and Health
Launching in 2027, JAMA AI will be the newest journal from the JAMA Network. JAMA AI Editor Roy H. Perlis, MD, MSc, and Associate Editor Yulin Hswen, ScD, MPH, discuss the details of this new journal, which opens for submissions in early 2027, as well as some recent AI publications across the JAMA Network that provide insight into articles the editors are hoping to publish. Related Content: Announcing JAMA AI—A New Journal From the JAMA Network Acoustic Analysis of Primary Care Patient–Clinician Conversations to Screen for Cognitive Impairment An AI-Based OCT System to Detect Diabetic Macular Edema The Machine Is Just as Loud
In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Rochelle Walensky, MD, MPH, professor of medicine at Harvard Medical School and former CDC Director, discuss the potential for AI deployment in health care to adversely impact women physicians, and why simply avoiding these technologies is not a realistic response. Related Content: Will Women Physicians Face an AI Gap? Women, Medicine, and AI
Yulin Hswen, ScD, MPH, Associate Editor of JAMA+ AI, speaks with Advanced Research Projects Agency for Health (ARPA-H) Program Manager Bon Ku, MD, MPP, about rethinking AI in health care from alarm fatigue and aviation-style simulation to patient-centered design and what it will take to safely move AI from promising models to real-world care. Related Content: Beyond the AI Alarm Related Link: Bon Ku's Bio
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
In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Haider Warraich, MD, sort out the prospects for AI-driven heart failure care that doesn't entail a human in the loop. Warraich is a program manager at ARPA-H, the Advanced Research Projects Agency for Health, responsible for ADVOCATE, an effort to support the development of AI to guide heart failure treatment, seeking to create AI agents that can pass muster with the FDA. Related Content: ADVOCATing for Patients With Heart Failure FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine
In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Joseph Geraci, PhD, of Queen's University discuss using machine learning to analyze clinical trials and related FDA interactions. Geraci's work focuses on identifying subpopulations with different responses to help plan and analyze future trials. Related Content: Enriching Clinical Trials With Machine Learning
Interview with Joseph T. Colonel, PhD, author Acoustic Analysis of Primary Care Patient–Clinician Conversations to Screen for Cognitive Impairment. Hosted by Cynthia E. Armand, MD. Related Content: Acoustic Analysis of Primary Care Patient–Clinician Conversations to Screen for Cognitive Impairment
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Discover the future of medicine with JAMA+ AI Conversations. This collection of interviews with clinicians, researchers, and AI experts explores how AI is impacting medicine – from clinical practice to training and research. Join us to uncover what lies ahead at the intersection of AI and medicine.
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