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HomeWebinarsThe role of generative AI in clinical reasoning across the medical education continuum

The role of generative AI in clinical reasoning across the medical education continuum

Drawing on theoretical frameworks and research in clinical reasoning, we will examine AI not just as a tool, but as an active agent capable of assuming distinct roles in the reasoning process—including evaluator, coach, and teammate.

Originally aired:

January 26, 2026

Recording

60 minutes

Justin Choi, MD, MSc
Justin Choi, MD, MSc

Assistant Professor of Medicine at Weill Cornell Medicine

Ben Muller, MD
Ben Muller, MD

Chief Content Officer

Webinar overview

Clinical reasoning has traditionally been taught and assessed as an individual cognitive skill, but the rise of Generative AI is disrupting the reasoning process and workflow between human and machine. As the reasoning process is increasingly shared between human clinicians and AI, educators must rethink how clinical reasoning competence is developed and assessed. This webinar explores the implications of AI for clinical reasoning performance and assessment.

Join Justin Choi, MD, MSc, Assistant Professor of Medicine at Weill Cornell Medicine, as we examine the role of Generative AI in clinical reasoning across the medical education continuum. Drawing on theoretical frameworks and research in clinical reasoning, we will examine AI not just as a tool, but as an active agent capable of assuming distinct roles in the reasoning process—including evaluator, coach, and teammate. We hope you will come away with new frameworks and practical strategies to ensure AI augments clinical reasoning teaching and assessment.

What you'll learn

Rethink clinical reasoning in the age of AI, and what it means to develop true competence in a human–AI care environment

Understand where generative AI helps, and where it introduces risk, from bias and variability to over-reliance and “deskilling”

Learn how to adapt your teaching and assessment strategies to build clinical judgment and adaptive expertise alongside AI

Webinar recording

Meet your expert speakers

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Dr. Raj Kumar, MD, MPH
Associate Dean for Clinical Education, Stanford University School of Medicine

Dr. Kumar leads Stanford's clinical reasoning curriculum and oversees assessment innovation across all clinical clerkships. He is a pioneer in integrating AI-enhanced simulation into medical education and has received multiple teaching awards for his work developing competency-based assessment frameworks. His expertise spans internal medicine, medical education, and healthcare quality improvement.

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Justin Choi, MD, MSc
Justin Choi, MD, MSc
Assistant Professor of Medicine at Weill Cornell Medicine

Justin Choi, MD, MSc is an Assistant Professor of Medicine at Weill Cornell Medicine and a clinician-educator whose work focuses on clinical reasoning, diagnostic error, and how clinicians learn and make decisions. He serves as a site co-lead in the DDx by Sketchy Catalyst Grant Program.

Ben Muller, MD
Ben Muller, MD
Chief Content Officer

Ben Muller, MD is the Chief Content Officer at Sketchy, overseeing content development across Sketchy's core learning platform and DDx by Sketchy. A Columbia-trained physician, Ben has spent over six years translating complex medical concepts into engaging, evidence-informed learning experiences — leading a multidisciplinary team of physicians, educators, and creatives dedicated to making medical education built for modern clinical practice.

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