Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

What if navigating a chronic disease could be as intuitive as following a GPS?

MCML PI Björn Eskofier leads the new Institute of AI in Medicine at LMU Hospital. He argues that the biggest barrier to AI in healthcare isn’t the algorithms, it’s the lack of real-world, real-time data needed to personalize treatment for diseases like Alzheimer’s, Parkinson’s, and cancer. He envisions AI as a navigation system through chronic disease and an intelligent health record that empowers patients to understand and participate in their own care.

In this video series, discover how MCML researchers are bridging theory and practice to build AI systems that prioritize accessibility, sovereignty, and impact.

The film was produced and edited by Nicole Huminski and Nikolai Huber.