Resources
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This September 2025 session for first-year Stanford medical students explores how AI can enhance medical learning and clinical reasoning through responsible, ethical, and hands-on use of tools like SecureGPT, OpenEvidence, and NotebookLM.
An evidence-informed, modular curriculum outline designed for medical students, providing foundational knowledge, clinical integration skills, ethical-legal frameworks, and critical appraisal of AI in healthcare.
Videos and Recordings
AI in Medical Education Symposium (June 4, 2025)
Framing the Landscape: What AI Means for Medicine
Jonathan Chen, MD, PhD
Stanford University
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Workshop: Basics of LLMs & Prompt Engineering
Shivam Vedak, MD, MBA
Dong-han Yao, MD
Stanford University
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Legal Liability in the Age of Medical AI
Michelle Mello, JD, PhD
Stanford University
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Lightning Demos: AI Tools for Medical Education
Emergency Medicine Education
Carl Preiksaitis, MD
Lightning Learning
Mitra Alikhani, BSN, RN
Sketchy
Andrew Berg, MD
Ben Muller, MD
AI Clinical Coach
Sharon Chen, MD
ChatPPC
Aydin Zahedivash, MD
Clinical Mind AI
Marcos Santiago-Rojas
Tom Caruso, MD
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Panel: What Makes a Doctor a Doctor?
Selin Everett
Carolyn Kaufman, MD
Bryant Lin, MD
Natalie Pageler, MD
Carla Pugh, MD, PhD
Malathi Srinivasan, MD
Ilana Yurkiewicz, MD
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Closing Reflections
Jonathan Chen, MD, PhD
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