Wednesday

October 4th // 1:00 PM ct

Mudd 3514

Speaker

Suchi Saria, JHU

Title

AI for augmenting clinical teams: opportunity, technical hurdles, promising results, and open problems

Abstract

The use of AI 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 3 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. Based on these results, we achieved FDA Breakthrough status. This talk will give an overview on what it takes to go from an idea to a bedside tool. Along the way, I'll give pointers to new technical ideas and open research problems in AI safety, human-machine teaming, and modeling multi-modal temporal data.

Biograpahy

Suchi Saria, PhD, holds the John C. Malone endowed chair and is an associate professor of computer science, statistics, and medicine at Johns Hopkins. She is also is the Founder of Bayesian Health, a leading health AI platform company spun out of her university research. Her methods work has focused on solving challenges in ensuring safe real-world translation of AI in high-stakes applications, multi-modal time series modeling, and causal and counterfactual reasoning for time series data. Her applied research has built on these technical advances to develop novel next generation diagnostic and treatment planning tools that use AI/statistical learning methods to individualize care. Her work has been funded by leading organizations including the NSF, DARPA, FDA, NIH and CDC and featured by the Atlantic, Smithsonian Magazine, Bloomberg News, Wall Street Journal, and PBS NOVA to name a few. She has won several awards for excellence in AI and care delivery. For example, for her academic work, she's been recognized as IEEE's "AI's 10 to Watch", Sloan Fellow, MIT Tech Review's "35 Under 35", National Academy of Medicine's list of "Emerging Leaders in Health and Medicine", and DARPA's Rising Star awardee. For her work in industry bringing AI to healthcare, she's been recognized as World Economic Forum's 100 Brilliant Minds Under 40, Rock Health's "Top 50 in Digital Health", Modern Healthcare's Top 25 Innovators, The Armstrong Award for Excellence in Quality and Safety. Her family is from Darjeeling and she loves good tea. Before things got too busy, she did triathlons, drew, and danced. Now she spends her limited free time with her family and traveling going to destinations where she can bike, taste wine, or kitesurf.