Study illustrates pros, cons in AI readings of 3D mammography scans

A retrospective study of an artificial intelligence program for reading 3D mammography scans illustrated the pros, cons and limits of the technology, with researchers saying their findings could potentially help optimize the imaging algorithms used in breast cancer detection and diagnosis.

Conducted at Massachusetts General Hospital, the researchers used Hologic’s Genius AI Detection 2.0 mammography software to analyze a collection of 5,000 digital breast tomosynthesis exams performed between 2016 and 2019. 

That dataset included 500 cases of cancer that were identified by radiologists at the time, as well as 100 patients with malignant tumors that had slipped by undetected.

The AI program correctly spotted about 90% of the known, true-positive cases, as well as 32% of the previously missed, false-negative cancers. According to the researchers, the AI was more likely to detect certain types of tumors and their presentations compared to others. The results were presented at the annual…
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