RSNA: AI Catches One-Third of Interval Breast Cancers Missed at Screening

▤ Summary

A Radiology study says an AI algorithm can detect and localize nearly one-third of interval breast cancers missed on screening digital breast tomosynthesis exams. Researchers analyzed 1,376 cases and found the algorithm correctly localized 32.6% of previously undetected cancers. The study suggests AI could work as a valuable second reader and improve screening outcomes when integrated into DBT workflows. The authors note that broader validation and radiologist adoption will determine real-world impact.

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