Digital Health & AI

Emerging digital health and artificial intelligence-based technologies are creating unprecedented new opportunities to solve unmet health-related needs that improve care delivery, patient access, experience, and outcomes. Stanford Biodesign's digital health team aims to advance digital health education and translation by democratizing access to the tools and training that empower innovators from all backgrounds.

Education

Education and experiential learning are core to our mission in the digital health domain. Our full-time Innovation Fellows receive a custom didactic curriculum, combined with hands-on mentorship related to the rapid developments in artificial intelligence, large language models, health data interoperability, and more. We also offer two courses for Stanford undergraduate and graduate students: Biodesign for Digital Health (BIOE273 / MED273) in the Fall quarter and Building for Digital Health (CS342) in the Winter quarter.

Experimentation

To facilitate rapid prototyping and deployment by our trainees and other researchers as they conceptualize solutions for the unmet needs they identify, the Stanford Biodesign digital health team created Stanford Spezi: an open-source toolkit for rapid prototyping using agentic AI. It has been used on more than 20 projects by the research community at Stanford and beyond.

Translation

Our group designs, develops, and implements digital health projects in partnership with academic clinicians, researchers, and informatics professionals from Stanford Medicine and beyond. We welcome proposals to collaborate on projects with the potential for outcomes that benefit patients or advance medical knowledge in the field.