Preparing Clinicians for Diagnostic Artificial Intelligence: Tools, Teammates, and Teaching

As artificial intelligence (AI) transforms the healthcare landscape, who will train clinicians and trainees on the responsible and safe use of this technology? How will trainees’ clinical reasoning skills be impacted by AI – and will it help or hinder their learning? In this special Grand Rounds, Cornelius James, MD, from the University of Michigan, will explore the intersection of diagnostic AI and clinical practice, focusing on how AI tools can enhance diagnostic reasoning. James will highlight how AI is being integrated into diagnostic reasoning curricula to prepare the next generation of healthcare professionals to work effectively alongside AI systems. Speaker: Cornelius A. James, MD Assistant Professor Departments of Internal Medicine, Pediatrics, and Learning Health Sciences Program Bob Wachter: Introduction 3:10-2:05 — Cornelius A. James, MD 53:29-1:00:33 — Q&A See previous Medical Grand Rounds: November 19: Multidisciplinary Approach to the Diagnosis and Treatment of Pulmonary Hypertension •    • Multidisciplinary Approach to the Diagnosi...   November 12: Advances in Rheumatoid Arthritis 2024: From Bench to Bedside •    • Advances in Rheumatoid Arthritis 2024: Fro...   November 5: Community-Engaged Climate Change Solutions •    • Community-Engaged Climate Change Solutions...   October 29: Hospital Medicine: The Year in Review •    • Hospital Medicine: The Year in Review