AI is rapidly entering medical education, but most tools aren’t designed for the realities of health professions’ training. What does it look like to use AI in a way that is accurate, trustworthy and aligned with how students actually learn?

In this session, Catherine Johnson from Elsevier introduces Osmosis AI, purpose-built for medical education and integrated directly into the learning experience—keeping learning “in the loop,” so students get support at the point of need without leaving their content or switching platforms.

Through a focused demo, you’ll see how Osmosis AI delivers real-time, context-aware support to help students connect foundational science concepts, reinforce understanding, and engage in personalized learning using vetted, high-quality medical content. We’ll also examine how faculty can integrate Osmosis AI in ways that enhance—not replace—teaching, while maintaining confidence in the accuracy, rigor and integrity of their curriculum.