ML Innovation in Healthcare with Suchi Saria - #501
Analysis
This article summarizes a podcast episode featuring Suchi Saria, the founder and CEO of Bayesian Health, discussing the application of machine learning in healthcare. The conversation covers Saria's career path, the challenges of ML adoption in healthcare, and successful implementations. It highlights the slow integration of ML into the healthcare infrastructure and explores the state of healthcare data. The episode also focuses on Bayesian Health's goals and a study on real-time ML inference within an EMR setting. The article provides a concise overview of the key topics discussed in the podcast.
Key Takeaways
- •Suchi Saria's background and journey in the intersection of machine learning and healthcare.
- •Challenges and successes in adopting machine learning within the healthcare infrastructure.
- •Bayesian Health's goals and research on real-time ML inference in an EMR setting.
“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.”
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