Digital Health & AI

Overview

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.

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 framework for building modular, interoperable, and scalable digital health applications, tailored for research and clinical environments. 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.

Get involved

We are always looking for talented students and collaborators. Visit our research opportunities and open positions pages to learn more about getting involved.