The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) ML Innovation in Healthcare with Suchi Saria - #501
Jul 15, 2021
In this engaging discussion, Suchi Saria, Founder and CEO of Bayesian Health and an esteemed professor at Johns Hopkins University, shares her journey at the intersection of machine learning and healthcare. She highlights the slow acceptance of AI in medical practice and discusses pockets of success in the field. Saria elaborates on groundbreaking advancements in sepsis detection and the challenges of integrating ML tools into clinical workflows. Finally, she envisions a future where improved data accessibility drives better patient outcomes in healthcare.
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Early Work with Premature Babies
- Suchi Saria's early work involved predicting outcomes in premature babies, demonstrating the potential of machine learning in healthcare.
- This work led to opportunities in various sectors, including advising companies and academic research.
Advice on Driving Change in Healthcare
- Focus on foundational research to develop novel methodologies that can unlock the potential of healthcare data.
- Consider working within established institutions like Johns Hopkins to drive change from within.
Policy and Trust in Healthcare
- Policy change plays a crucial role in the adoption of new healthcare technologies.
- Dissemination of new ideas and building trust are essential for widespread adoption, even with strong supporting data.