Separating AI Hype from Clinical Reality with Dr. Roxana Daneshjou – Healthcare AI Pioneers
Jesse chats with Dr. Roxana Daneshjou, Assistant Professor of Biomedical Data Science and Dermatology at Stanford School of Medicine. Together, they discuss Roxana’s journey into the healthcare AI world; recent research on AI performance in healthcare tasks and claims of superhuman AI performance presented as clinical vignettes; takeaways from Health AI Week at Stanford; AI challenges facing medical professionals and patients; using data analysis to guide healthcare AI forward; fears and hopes for healthcare AI in the future; and much more.
Learn more about Roxana’s work at www.DaneshjouLab.com.
Headline
OpenAI moves toward making healthcare a central pillar of its business.
Resource Link
From the University of Chicago, Stretchable AI patch computes on your body, no server required.
About Our Guest
Dr. Roxana Daneshjou
Dr. Roxana Daneshjou is a board-certified dermatologist and physician-scientist whose research focuses on the development and evaluation of AI systems and technologies in biomedicine and healthcare.
After completing her BS in Bioengineering at Rice University, she earned an MD and PhD (Genetics) degrees from Stanford University, where she was advised by Dr. Russ Altman and supported by the Paul & Daisy Soros Fellowship. She completed her residency in Dermatology at Stanford Medicine and a postdoctoral fellowship in Stanford DBDS, advised by Dr. James Zou.
She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI), the AI in Medicine and Imaging (AIMI) center and Stanford Bio-X.