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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48:16
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48:16
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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35:39
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35:39
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.
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38:45
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38:45
EP11 Tom Fadial MD,
Join us for an engaging conversation with Tom Fadial,MD! Dr. Fadial is an emergency medicine physician, software developer, and interface designer dedicated to improving the efficiency and effectiveness of medical workflows. He is known for his amazing web and mobile applications, including the Nerve Block App, Fractures, Suture, as well as ECG Stampede. Don't miss this one!!Share your thoughts on the episode here.
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43:42
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43:42
EP10 Travis Zack MD, PhD and Varun Mangalick BS, Open Evidence
Join us for a fascinating discussion with Dr. Travis Zack, MD, PhD, and Varun Mangalick, BS, as we dive into the transformative potential of OpenEvidence. We explore how AI-driven clinical decision support, large language models, and reinforcement learning are reshaping decision-making and evidence-based practice. A must-listen for anyone curious about the future of AI in healthcare!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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