What's Your Problem? with Jacob Goldstein: Using AI to Help Doctors Save Lives
Every year in the U.S., tens of thousands of hospital patients die of preventable causes. For many of these patients, warning signs are subtle and easy for doctors to miss. Suchi Saria is the founder and CEO of Bayesian Health, and a professor at Johns Hopkins where she runs a lab focused on machine learning and healthcare. Suchi’s problem is this: How can you use AI to detect when hospital patients are at risk of potentially deadly complications – and how can you get doctors to listen?
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ML Innovation in Healthcare with Suchi Saria - #501
Today we’re joined by Suchi Saria, the founder and CEO of Bayesian Health, the John C. Malone associate professor of computer science, statistics, and health policy, and the director of the machine learning and healthcare lab at Johns Hopkins University.
Suchi shares a bit about her journey to working in the intersection of machine learning and healthcare, and how her research has spanned across both medical policy and discovery. We discuss why it has taken so long for machine learning to become accepted and adopted by the healthcare infrastructure and where exactly we stand in the adoption process, where there have been “pockets” of tangible success.
Finally, we explore the state of healthcare data, and of course, we talk about Suchi’s recently announced startup Bayesian Health and their goals in the healthcare space, and an accompanying study that looks at real-time ML inference in an EMR setting.
The complete show notes for this episode can be found at twimlai.com/go/501.