In this episode, we explore how AI is reshaping physician training — and what medical educators must do now to keep pace. Dr. May Lin (Touro University), Dr. Saroj Misra (A.T. Still University), Dr. Renu Agnihotri (A.T. Still University), and Dr. Shivam Vedak (Stanford University) share what’s working and what isn’t when it comes to preparing residents and medical students to use AI responsibly. From faculty development and inconsistent guidance across clinical sites, to automation bias and the pressure to see more patients faster, the panel examines the hard tradeoffs facing medical education today — and why building critical thinking alongside AI fluency is the only path forward.

Key Takeaways

• Faculty development is critical — attendings must understand AI tools before they can effectively guide trainees.
• Consistent AI policies across clinical training sites help reduce mixed messages for residents and students.
• AI should be thought of as augmented intelligence, not a shortcut or replacement for clinical reasoning.
• Trainees who understand how AI models work are better equipped to recognize when they fail.
• Automation bias is a real risk — trainees may accept incorrect AI outputs without sufficient scrutiny.
• Core clinical reasoning skills must be developed independently of AI, especially in early training.
• Hospital productivity pressures can undermine the thorough, deliberate habits that good training requires.
• Patients using AI without clinical background face similar — and potentially greater — risks than trainees.
• The EHR era offers a cautionary tale: physicians must engage early to shape how AI tools are built and deployed.
• Building a healthy relationship with AI from the start of medical education sets the foundation for safer clinical practice.

Episode Highlights

• 00:00 Intro
• 02:29 Are We Training Doctors for the World They’re Entering?
• 04:05 Meet the Guests
• 05:08 Aligning Faculty and Trainees on AI Use
• 08:36 Moving Beyond the “AI as Cheating” Mindset
• 10:20 Which AI Tools Show the Most Clinical Promise?
• 13:05 Building the Right Relationship with AI from Day One
• 15:27 Why Upskilling the Whole Generation Matters
• 18:58 Teaching How AI Models Work — and Fail
• 20:01 The Faculty Development Challenge
• 20:39 How Do You Know a Trainee Truly Understands?
• 25:32 Balancing Thoroughness with Hospital Productivity Pressure
• 27:15 AI Should Improve Care Quality, Not Just Speed
• 29:32 When Patients Use AI Without Clinical Reasoning
• 31:15 Dr. Misra’s Challenge: Should Any Task Be Off-Limits for AI?
• 33:18 Renu: The Cognitive Exoskeleton and Productive Struggle
• 34:33 May: A Ban on Banning AI
• 36:52 Shivam: Protect the Process of Clinical Reasoning
• 37:50 Final Thoughts & Closing

Guests: Dr. May Lin, Dr. Saroj Misra, Dr. Renu Agnihotri, Dr. Shivam Vedak Host: Gregg Malkary – Lighthouse Healthtech Cohost: Keith Washington – Companions in Courage Foundation Sponsored by: Simplifi Medical Audio/Video: Tim Jones – Health Nuts Media Marketing: Josh Troop – Troop-Creative Learn More at: www.beyond-blueprint.com