Dr. Pranav Rajpurkar on AI and Radiology

Dr. Kyunghyun Cho is a leading AI researcher best known for co-authoring a landmark 2014 paper that introduced neural machine translation. In this episode, he discusses his wide-ranging career spanning fundamental AI research, co-founding Prescient Design (acquired by Genentech), ...  Show more

Clinical AI only helps patients if clinicians and health systems trust it. Seth Hain describes how Epic is building foundation models that respect institutional autonomy, minimize burden, and prioritize safety. He discusses scaling laws in structured medical data, cautious deploy ...  Show more

Can AI augment radiological processes, imaging analysis, and diagnosis? In this Q&A, Saurabh Jha, MBBS, MRCS, MS, an associate professor of radiology at the University of Pennsylvania, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI could ...

Prepare to be intrigued by the groundbreaking intersection of artificial intelligence (AI) and multiple sclerosis care! By combing through extensive databases, including genetic information and real patient records, AI can forecast with remarkable accuracy th ...

Clinician-led healthcare AI company Harrison.ai has built an AI system that serves as “spell checker” for radiologists — flagging critical findings to improve the speed and accuracy of radiology image analysis, reducing misdiagnoses. In the latest episode of NVIDIA’s AI Podcast, ...  Show more

This episode of Audible Bleeding features Drs. Adam Johnson and Jeniann Yi, members of the Society for Vascular Surgery Health Information Technology Committee, to discuss the application of large language models in vascular surgery with two experts in the field, Dr. ...