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Recordings of the 2020 AIMI Symposium are linked on the agenda. You may also view the videos on our YouTube channel.

Advancements of machine learning and artificial intelligence into all areas of medicine are now a reality and they hold the potential to transform healthcare and open up a world of incredible promise for everyone. Sponsored by the Stanford Center for Artificial Intelligence in Medicine and Imaging, the 2020 AIMI Symposium is a virtual conference convening experts from Stanford and beyond to advance the field of AI in medicine and imaging. This conference will cover everything from a survey of the latest machine learning approaches, many use cases in depth, unique metrics to healthcare, important challenges and pitfalls, and best practices for designing building and evaluating machine learning in healthcare applications.  

Our goal is to make the best science accessible to a broad audience of academic, clinical, and industry attendees. Through the AIMI Symposium we hope to address gaps and barriers in the field and catalyze more evidence-based solutions to improve health for all.
This event is free and open to all! 
Planning Committee:
Matthew Lungren and Serena Yeung (Course Co-Directors), Akshay Chaudhari, Johanna Kim, Daniel Rubin

Please contact for all symposium inquiries.