Join us in this episode as we delve further into the application of machine learning and AI in healthcare.

Our host Fabrizio Billi, Ph.D. (UCLA), and panelists: Thomas Peterson, Ph.D. (UCSF), Peter Schilling, MD (Dartmouth-Hitchcock), and Alan Young, MD (McKinsey & Company), explore the use of AI and big data to predict patient outcomes, streamline interactions, and enhance overall hospital experiences. From forecasting patient discharges to predicting surgical case times and assessing risks, the panelists engage in a lively discussion on the strengths and weaknesses of AI. They highlight that the accuracy of AI varies based on the variables considered. Additionally, they stress the importance of robust data infrastructure and funding organizations' understanding of the value of these tools in advancing scientific research. The conversation also touches upon the need for clinicians to have a comprehensive understanding of these tools.

Tune in to this enlightening conversation and be sure to catch all the other engaging episodes of DOCSF!