AI in Healthcare Series: State of Gen AI in Healthcare, Troy Tazbaz Former Head Digital Health FDA скачать в хорошем качестве

AI in Healthcare Series: State of Gen AI in Healthcare, Troy Tazbaz Former Head Digital Health FDA

Learn more about Stanford's online Healthcare AI programs: https://online.stanford.edu/artificia... Check out the AI in Healthcare series playlist: https://bit.ly/AI-in-Healthcare-YT-Se... Matt Lungren, Stanford University - https://profiles.stanford.edu/matthew... Justin Norden, Stanford University - https://med.stanford.edu/profiles/jus... Guest Speaker: Troy Tazbaz, Former Head of Digital Health for the FDA Join Matt Lungren and Justin Norden, faculty members at Stanford University, as they explore the dynamic and evolving landscape of artificial intelligence in healthcare. In this special episode, they are joined by Troy Tazbaz, the Former Head of Digital Health at the FDA, for a comprehensive and thought-provoking conversation on the intersection of AI, medicine, and regulation. This episode covers a wide range of critical topics: Adoption of Generative AI in Healthcare: Dive into the rapid adoption of generative AI technologies across various industries, with a specific focus on healthcare. The discussion covers the impact of tools like AI-driven chatbots and generative models on healthcare delivery, and how they are transforming the way medical professionals and patients interact. AI Performance Improvements and Human vs. AI: The episode highlights the remarkable advancements in AI performance, with AI models now outperforming humans in certain tasks and benchmarks. Matt, Justin, and Troy explore the implications of AI’s enhanced capabilities, particularly in areas like medical diagnostics, treatment plans, and patient outcomes, and discuss the ongoing debate about AI’s effectiveness compared to human clinicians. Regulatory Challenges and Frameworks: With Troy’s experience at the FDA, the episode delves into the regulatory landscape for healthcare AI. The conversation touches on the challenges of regulating rapidly evolving AI technologies, the frameworks needed to ensure safety, efficacy, and ethical use, and how regulators are balancing innovation with the need for oversight in a fast-moving field. Top-Down vs. Bottom-Up Adoption: The discussion also covers the contrasting approaches to AI adoption in healthcare, from bottom-up innovations driven by clinicians to top-down policies and regulations. The team explores the opportunities and obstacles in leveraging AI to improve healthcare delivery, providing insights from healthcare professionals, regulators, and academics alike. Tune in for expert insights into how AI is reshaping the future of healthcare, the challenges it brings, and how leadership, innovation, and regulation are key to navigating this transformative period in medicine. Stanford Online, in collaboration with the Stanford Center for Health Education, is brought to you by the Stanford Engineering Center for Global & Online Education. #healthcareai #healthcareprofessionals