Medical Xpress August 20, 2024
Radiological Society of North America

A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a study published today in Radiology.

Recent developments in AI have sparked a growing interest in computer-assisted diagnosis, partly motivated by the increasing workload faced by departments, the global shortage of and the potential for burnout in the field. Radiology practices have a high volume of unremarkable (no clinically significant findings) chest X-rays, and AI could possibly improve workflow by providing an automatic report.

Researchers in Denmark set out to estimate the proportion of unremarkable chest X-rays where AI could correctly exclude pathology without increasing diagnostic errors. The study...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Provider, Radiology, Technology
OpenAI’s GPT-5 Model Reportedly Behind Schedule With Uncertain Future
10 AI Predictions For 2025
Three Practical Reasons To Consider AI Agents For Your Organization
Dexcom Adds Generative AI Platform to Its Over-the-Counter CGM
My Medical AI Holiday Wish List

Share This Article