Inside Precision Medicine July 8, 2025
Tracking the eye movements of radiologists has revealed how artificial intelligence can help them focus on suspicious lesions in mammograms, potentially improving the detection of breast cancer.
The findings, in the journal Radiology, offer valuable insights into the reading patterns of radiologists and how incorporating AI as a decision support tool affects visual search behavior when interpreting mammograms.
The AI tool drew the radiologists’ attention to the most relevant examinations and regions within them. This likely improved the detection and recognition of lesions without increasing reading time, and possibly even reducing this.
“The results are encouraging. With the availability of the AI information, the radiologists performed significantly better,” said joint first author Jessie Gommers, a PhD candidate at Radboud University...
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