Transitioning from face to face instruction to asynchronous learning raised concerns about losing the rich, real time reasoning practice students gain from interactive clinical cases. While students adapted well to online learning, recreating sequential, layered clinical reasoning without intensive instructor effort remained a challenge—until AI transformed the process. This session will demonstrate how AI can replicate the dynamic, conversational problem solving that occurs in live classrooms. By guiding learners through evolving clinical scenarios, AI enables real time reasoning, personalized feedback, and deeper engagement. Attendees will explore practical strategies for integrating AI to enhance clinical decision making in asynchronous environments.
