
AI decision support improves radiologists' breast cancer detection accuracy when interpreting screening mammograms, mainly by enhancing focus on suspicious regions.
Key Details
- 1Peer-reviewed study published in Radiology journal (RSNA).
- 212 radiologists read 150 screening mammograms (75 with cancer, 75 without).
- 3AI support increased detection accuracy without affecting average reading time or sensitivity/specificity.
- 4Eye tracking showed radiologists spent more time on actual lesions when aided by AI.
- 5AI region scores influenced radiologist attention—higher scores led to more careful examination.
- 6Ongoing research is exploring the best timing and usage of AI decision support.
Why It Matters

Source
EurekAlert
Related News

AI and Imaging Reveal Atomic Order in 2D Nanomaterials
A multi-university team has uncovered how atomic order and disorder in 2D MXene nanomaterials can be predicted and tailored using AI, enabled by advanced imaging analysis.

DreamConnect AI Translates and Edits fMRI Brain Activity into Images
Researchers unveil DreamConnect, an AI system that reconstructs and edits visual imagery from fMRI brain data with language prompts.

AI-Powered Optical Imaging Achieves High Accuracy for Colorectal Cancer Detection
A label-free optical imaging technique using autofluorescence lifetime and AI can distinguish colorectal cancer with 85% accuracy.