Beyond Detection: How AI Is Reshaping Breast Imaging and Risk-Based Screening

Artificial intelligence in breast imaging is rapidly expanding beyond computer-aided cancer detection.

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Breast imaging AI now supports lesion characterization, density measurement, workflow triage, quality assurance, and extraction of imaging features associated with future cancer risk.
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After a normal mammogram, AI can compare imaging phenotypes with databases to estimate short-term risk, which may change between examinations.
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Combining mammographic risk with clinical information may improve prediction, while adding genetic information could further refine risk stratification.
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AI-derived risk could inform supplemental imaging and surveillance, but changing screening frequency or modality requires studies showing improved patient outcomes.
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Dr. Schilling reports improved cancer detection, fewer false-negative and false-positive examinations, fewer recalls and biopsies, and greater radiologist efficiency and confidence in her practice.

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