DOTmed July 9, 2025
Radiologists using AI decision support systems detected more breast cancer lesions in screening mammograms without spending additional time on interpretations, according to a study published July 8 in Radiology.
The study, led by researchers at Radboud University Medical Center in Nijmegen, Netherlands, investigated how AI affects visual search patterns and performance in breast cancer screening. Using eye tracking technology, the team compared how 12 radiologists interpreted 150 mammography cases — half with confirmed cancer — both with and without AI assistance from ScreenPoint Medical’s Transpara (v2.1.0).
“By analyzing this data, we can determine which parts of the mammograms the radiologist focus on, and for how long, providing valuable insights into their reading patterns,” said joint first author Jessie J. J....
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