Join us for Episode 16 of the STAT AI Podcast! After breaking down a recent study on AI-based ED crowd forecasting, we’re joined by Dr. Fei Wang—Professor of Population Health Sciences and Emergency Medicine at Weill Cornell Medicine, Chief of the Division of Health Informatics and Artificial Intelligence, and Director of the Institute of Artificial Intelligence for Digital Health. In a wide-ranging conversation, Dr. Wang shares his perspective on what makes AI models truly usable in clinical practice, why so many fail to generalize beyond the lab, and how to evaluate performance beyond just accuracy. From reproducibility to regulatory challenges to building AI systems that actually solve real-world problems, Dr. Wang brings a pragmatic and deeply informed lens to the future of health AI. A must-listen for EM clinicians, researchers, and anyone thinking about the next phase of AI deployment in healthcare.Share your thoughts on the episode here.
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EP15 Andrew Taylor, MD, MHS University of Virginia Emergency Medicine
Join us for Episode 15 of the STAT AI Podcast! On this episode, we sit down with Dr. Andrew Taylor, Professor of Emergency Medicine and Vice Chair of Research and Innovation at UVA, to discuss his groundbreaking NEJM AI study on AI-based triage decision support and its real-world impact on emergency department operations. Dr. Taylor shares his vision for human-AI collaboration in emergency medicine, from streamlining clinical workflows to addressing equity challenges, and offers practical insights on how emergency departments can responsibly implement AI tools today while preparing for the transformative changes ahead. Not to miss!Share your thoughts on the episode here.
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EP14 Fran Riley, MD, MSE Stanford Emergency Medicine
This is EP14 of the STAT AI Podcast! Join us for a thrilling conversation with Fran Riley, MD, MSE of Stanford Emergency Medicine. The conversation highlights Dr. Riley's pioneering work combining emergency medicine with AI-driven image recognition and her efforts to bridge clinical and technical gaps through innovation and education. Not to miss!!Share your thoughts on the episode here.
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EP13 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 2)
Join us for episode 13 of the STAT AI Podcast! This is part 2 of our conversation with Dong Yao, MD and Shivam Vedak, MD from Stanford. We continue our engaging conversation on all things large language models, prompting, and the future of AI in emergency medicine. Not to miss!Share your thoughts on the episode here.
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EP12 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 1)
Join us for Episode 12 of the STAT AI podcast featuring Dong Yao, MD, an emergency medicine physician, and Shivam Vedak, MD, MBA, an internal medicine physician, both clinical informaticists from Stanford. They discuss their experiences integrating artificial intelligence and large language models (LLMs) into clinical workflows, providing valuable insights into effective prompting techniques and practical implementation strategies for clinicians.Share your thoughts on the episode here.
Join us on an enlightening journey where we discuss the intersection of artificial intelligence and the practice of emergency medicine. "Stat AI: Emergency Medicine & AI Podcast" is your go-to source for the latest insights, trends, and discussions at the forefront of emergency care and AI technology.
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