JAMA+ AI Conversations

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

The rise in use and function of ambient AI scribes is arguably one of the fastest technologic changes ever seen in health care. In this episode of Healthy Dialogue, host Derek Angus, MD, MPH, is joined by Vincent Liu, MD, MS, Chief Data Officer of The Permanente Medical Group in Kaiser Permanente, to discuss the rapidly changing world of ambient AI. Related Content:

• Ambient AI Scribes and the Quintuple Aim
• Changes in Clinician Time Expenditure and Visit Quantity With Adoption of Artificial Intelligence–Powered Scribes
• AI Scribes Are Here, but Is Health Care Ready?

In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Yulin Hswen, ScD, MPH, discuss Anthropic's participation in the Vatican presentation of Pope Leo XIV's AI encyclical, Magnifica Humanitas. The conversation explores AI ethics, interpretability, governance, AI safety, and the growing role of health care, public health, and global institutions in shaping the future of AI. Related Content:

• From Silicon Valley to the Vatican—The Expanding Debate on AI Ethics

Is it enough for AI to be accurate, or are we mistaking performance for impact? Does AI change clinician behavior, improve patient decisions, or simply create a convincing performance of intelligence? Yun Liu, PhD, research scientist at Google Research, speaks with JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, about what is behind the curtain in these AI systems. Related Content:

• The Wizard of Oz in Medical AI

Every patient has a story, but in modern health care that story is buried across thousands of notes, lab results, and fragmented records. Nigam H. Shah, MBBS, PhD, of Stanford University Department of Medicine joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to explore how researchers are building AI systems that can read and understand a patient's full medical history in seconds. Related Content:

• Chatting With AI and the Electronic Health Record