About the series
Talk abstract:
The use of Artificial Intelligence I in improving medical decision making is one of the most promising avenues for impact. However, turning these ideas into commonly used tools has been significantly harder and slower than predicted. My research has focused on closing fundamental technical gaps related to the development and robust translation of AI-based medical tools from messy, multi-modal observational datasets. My industry experience has given me a first hand view into hurdles that must be tackled for scaling these solutions in the real-world. In 2022, we published three manuscripts, featured on the cover of Nature Medicine, that shared results from one of the largest real-world evaluations of a medical AI tool to date. These studies were also the first to show the impact of AI on saving lives and achieved FDA Breakthrough status. This talk will give an overview on what it takes to go from an idea to a bedside tool and describe new technical ideas and open research problems in AI safety, human-machine teaming, and modeling multi-modal temporal data.
BIO:
Suchi Saria, PhD holds a John C. Malone endowed chair and is the Director of AI and health lab at Johns Hopkins where she is jointly appointed as faculty in Computer Science, Medicine and Health Policy. She is also the founder of Bayesian Health, a clinical AI platform company spun out of Hopkins that augments care teams by bringing together state of the AI/ML technology combined with responsible AI best practices to dramatically improve quality while saving clinicians' time.
Dr. Saria’s work in AI over the last two decades has led to foundational advances in the technology, best practices around translation, and AI policy. She has written several seminal papers in AI/ML around issues of learning robust models, detecting drifts, monitoring and learning from messy real-world datasets. Her applied research has built on these technical advances to develop novel next generation diagnostic and treatment planning tools that use AI/ML to individualize care. Her work has been funded by leading organizations including the NSF, DARPA, FDA, NIH and CDC and she regularly serves as a scientific advisor to leading Fortune 500 companies.
Dr. Saria completed her PhD in AI at Stanford. In 2024, she received an honorary doctorate from Mount Holyoke. She’s a Sloan Research Fellow, named by IEEE to “AI’s 10 to Watch”. Modern Healthcare’s Top 25 Innovators, World Technology Forum’ Technology Pioneer, and her work was recognized as one of TIME’s Best Inventions in 2023. She is on the board of the Coalition of Health AI (CHAI), editorial board of the Journal of Machine Learning Research and serves on the National Academy of Medicine AI Code of Conduct.
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