AI systems in breast imaging yield near-perfect negative predictive value but increase recall rates compared to radiologists, particularly for intermediate-risk classifications.
Key Details
- 1Study published in AJR compared Transpara v1.7.1 AI (ScreenPoint Medical) to 11 breast radiologists.
- 2Digital mammography cohort: 26,693 exams; DBT cohort: 4,824 exams.
- 3AI classified most cases as low risk but doubled or more the recall rate compared to radiologists (up to 41.8% for digital mammography at intermediate/elevated threshold).
- 4AI and radiologists both achieved NPVs of 99.8–99.9%.
- 5Sensitivity for AI at intermediate/elevated risk threshold: 94% (digital mammography), specificity fell to 58.6%.
- 6Researchers emphasized need for strategies to reduce false-positives, especially in intermediate-risk cases.
Why It Matters

Source
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