What's Your Problem? Using AI to Help Doctors Save Lives
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Feb 15, 2024 Suchi Saria, founder and CEO of Bayesian Health, and a professor at Johns Hopkins, discusses using AI to detect hospital patients at risk of complications. Challenges of integrating AI in healthcare, building trust in real-time information, and potential impact on healthcare market. Building an AI model for sepsis detection and the importance of detailed data. Potential impact of software in detecting sepsis and bed sores. Exploring AI applications and user experience. The need for AI to solve people problems.
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Accidental Healthcare Interest
- Suchi Saria's interest in healthcare began accidentally while at Stanford, studying AI and robots.
- A doctor friend revealed the lack of software to analyze the increasing amounts of patient data being collected.
Unutilized Data at Stanford
- Despite being a prestigious academic hospital, Stanford wasn't utilizing collected patient data effectively.
- Storing this data was viewed as expensive and its value was initially questioned.
Premature Baby Project
- Saria's initial healthcare AI project focused on premature babies in the NICU.
- Funded by Google's founders, she aimed to analyze real-time data to predict complications.