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

Venturous
Got healthcare questions? Just ask Transcarent

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Patient / Consumer, Provider, Radiology, Technology
Provider organizations that invest in cloud-first, AI-powered strategies will thrive
Avandra raises $17.75 million to expand medical imaging data network
Adapting To A New Frontier: Why AI Agents Demand Rethinking Fraud Prevention
DeepSeek’s AI Style Matches ChatGPT’s 74 Percent Of The Time—New Study
Google Cloud expands AI search for healthcare

Share This Article