Radiology Business October 22, 2024
Marty Stempniak

Does large language model ChatGPT have enough knowledge about interventional radiology to steer patients toward the specialty? And what are the potential blind spots?

Icahn School of Medicine at Mount Sinai researchers recently set out to answer these questions, asking the AI chatbot a series of questions related to ailments often treated by IRs.

Chloe G. Cross, MD, an IR resident at the New York City institution, and colleagues shared their findings Oct. 18 in the Journal of Vascular and Interventional Radiology [1].

“With the rapid advancement of artificial intelligence in healthcare, interventional radiology must understand how patients and other clinicians may use these technologies. Specifically, AI chatbots may be used by patients for self-diagnosis and by...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Patient / Consumer, Provider, Radiology, Technology
Generative AI Is Helping To Clear Up Brain Fog
Getting started with AI agents (part 1): Capturing processes, roles and connections
Unlocking The Genetic Code: AI Reveals New Insights Into Psychiatric Disorders
5 questions for the Abundance Institute's Neil Chilson
AI agents are unlike any technology ever

Share This Article