
Radiologists using AI visual cues are more likely to identify breast cancers on mammograms, as revealed by eye-tracking analysis.
Key Details
- 1Study published in RSNA's journal Radiology.
- 2Researchers used camera-based eye-tracking to observe 12 radiologists interpreting 150 mammograms (75 malignant, 75 benign).
- 3AI decision support highlighted suspicious areas and assigned malignancy likelihood scores (0-100).
- 4Eye-tracking identified where and how long readers focused on specific image regions with and without AI support.
- 5AI support altered reading patterns and improved cancer detection.
Why It Matters

Source
Health Imaging
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