
48 - Dr. Ravi Parikh - Using AI and Machine Learning to Improve Patient Care
Todays episode is a conversation I had with Dr. Ravi Parikh who is a Heme/Onc fellow at Penn. He received his MD from Harvard and his MPP from the Kennedy School. He completed an internal medicine residency at the Brigham. Dr. Parikh gave our first (and unfortunately probably only) in-person seminar series talk this semester. He spoke about Machine Learning in healthcare, some of the projects he is involved with to better identify patients who would benefit from having a “serious illness conversation” and the challenges of bias. He joined me to talk about this topic further. In the episode, we discuss his background, the decision to get an MPP degree, artificial intelligence and machine learning in healthcare, some of his research interests, and what he is most looking forward to in the future of medicine and oncology. - Ryan O'Keefe Footnotes: Ravi’s Bio https://ldi.upenn.edu/expert/ravi-parikh-md One of Ravi’s Recent Publications on ML in Medicine https://www.sciencedirect.com/science/article/pii/S155171442030029X?via%3Dihub
Information
- Show
- FrequencyUpdated Bi-monthly
- Published7 April 2020 at 6:06 pm UTC
- Length52 min
- RatingClean