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Stanford University via YouTube Video playlist

AI In Healthcare with Stanford professors Matt Lungren and Justin Norden

Overview

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

  1. AI in Healthcare Series: State of Gen AI in Healthcare, Troy Tazbaz Former Head Digital Health FDA
  2. AI in Healthcare Series: From Decision Support to Drug Prescriptions, Dr. Graham Walker, Kaiser
  3. AI in Healthcare Series: Navigating Medical Innovation, Dr. Amy Abernathy, Highlander Health
  4. AI in Healthcare Series: AI, Longevity, and the Future of Healthcare, with Dr. Eric Topol
  5. AI in Healthcare Series: The Future of Personalized Healthcare Technology with Dr. Jessica Mega
  6. AI in Healthcare Series: Accelerating the AI Revolution in Medicine, with Peter Lee, Microsoft
  7. AI in Healthcare Series: Empowering Patients with Kimberly Powell, NVIDIA
  8. AI In Healthcare Series: Leveraging GPT-5, Cosmos, and Predictive Models for Better Outcomes
  9. AI in Healthcare Series: Tracking and Trusting AI in Medicine, Dr. Shantanu Nundy
  10. AI in Healthcare Series: AI as Your Personal Health Partner
  11. AI in Healthcare Series: You Can’t Delegate AI with Andy Slavitt
  12. AI in Healthcare: Why Hospitals Are Moving Cautiously Toward Consolidation with Bob Wachter, MD
  13. AI in Healthcare Series: Inside the Rise of AI in Healthcare, Open Evidence and Cyber Risks
  14. Live from Stanford Health AI Week
  15. AI in Healthcare Series: When AI Stops Being a Project
  16. AI in Healthcare Series: Have We Already Bent the Healthcare Cost Curve?

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • The actual Stanford lectures (CS229, CS224N, CS231N…): the deepest free material on AI anywhere.
  • Taught by Stanford University, one of the strongest names in its field.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (16 videos) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Graduate level: needs linear algebra, probability and programming first.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Stanford University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (97/100).

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