AI can predict interval breast cancer risk up to three years after a negative mammogram.
Key Details
- 1A deep learning algorithm (Mirai) assessed three-year interval cancer risk using negative mammograms.
- 2Study evaluated over 134,000 patients across two U.K. sites.
- 3Algorithm predicted up to 43% of interval cancers before they developed.
- 4AI-generated risk scores could guide personalized screening and supplemental imaging.
- 5Interval cancers are typically more aggressive and have worse prognoses.
Why It Matters
Being able to predict interval cancers from seemingly normal mammograms can enable radiologists and clinicians to personalize screening intervals and deliver earlier, targeted interventions, especially in healthcare settings with longer screening intervals. This may lead to better outcomes for women at higher risk and more efficient use of imaging resources.
Source
Radiology Business
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