Medical Xpress February 25, 2025
Todd Price, University of Arkansas

Artificial intelligence can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said Ngan Le, a University of Arkansas assistant professor of computer science and computer engineering. We should understand how the computer makes its diagnosis, yet most AI systems are black boxes whose “thought process” even their creators cannot explain.

“When people understand the reasoning process and limitations behind AI decisions, they are more likely to trust and embrace the technology,” Le said.

Le and her colleagues developed a transparent, and highly accurate, AI framework for reading chest X-rays called ItpCtrl-AI, which stands for interpretable and controllable artificial intelligence.

The team explained their...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Provider, Radiology, Technology
AI-enabled clinical data abstraction: a nurse’s perspective
Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents
OpenAI’s latest product lets you vibe code science
WISeR in 2026: Legal, Compliance, and AI Challenges That Could Reshape Prior Authorization for Skin Substitutes
Dario Amodei warns AI may cause ‘unusually painful’ disruption to jobs

Share Article