AI-supported mammography screening showed a non-inferior interval cancer rate compared to standard double reading (1.55 vs. 1.76 per 1000 participants).
Sensitivity was significantly higher in the AI-supported group (80.5%) compared to the control group (73.8%), with no loss in specificity.
The AI intervention was associated with fewer interval cancers characterized by unfavorable features, such as invasive growth and non-luminal A subtypes.
Implementation of AI screening protocols can substantially reduce the screen-reading workload for radiologists without compromising diagnostic accuracy.
Background: The Evolution of Breast Cancer Screening
