Join Stanford professors Matt Lungren and Justin Norden as they explore the impacts and applications of AI in Healthcare. In conversations with top medical professionals, industry leaders, and academic experts, they draw upon their research to discuss common misconceptions, fears and exciting advancements for using AI in the medical field.Each episode provides useful insights and key considerations for professionals navigating the future of healthcare.Learn more about Stanford's online Healthcare AI programs: https://online.stanford.edu/artificial-intelligence/ai-professionals-healthcare
Videos in this playlist 16
AI in Healthcare Series: State of Gen AI in Healthcare, Troy Tazbaz Former Head Digital Health FDA
AI in Healthcare Series: From Decision Support to Drug Prescriptions, Dr. Graham Walker, Kaiser
AI in Healthcare Series: Navigating Medical Innovation, Dr. Amy Abernathy, Highlander Health
AI in Healthcare Series: AI, Longevity, and the Future of Healthcare, with Dr. Eric Topol
AI in Healthcare Series: The Future of Personalized Healthcare Technology with Dr. Jessica Mega
AI in Healthcare Series: Accelerating the AI Revolution in Medicine, with Peter Lee, Microsoft
AI in Healthcare Series: Empowering Patients with Kimberly Powell, NVIDIA
AI In Healthcare Series: Leveraging GPT-5, Cosmos, and Predictive Models for Better Outcomes
AI in Healthcare Series: Tracking and Trusting AI in Medicine, Dr. Shantanu Nundy
AI in Healthcare Series: AI as Your Personal Health Partner
AI in Healthcare Series: You Can’t Delegate AI with Andy Slavitt
AI in Healthcare: Why Hospitals Are Moving Cautiously Toward Consolidation with Bob Wachter, MD
AI in Healthcare Series: Inside the Rise of AI in Healthcare, Open Evidence and Cyber Risks
Live from Stanford Health AI Week
AI in Healthcare Series: When AI Stops Being a Project
AI in Healthcare Series: Have We Already Bent the Healthcare Cost Curve?
Advantages and disadvantages
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For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…