AI mammography risk scores shift years before breast cancer diagnosis, study finds

A mammography study found that AI-derived breast cancer risk scores change dynamically in the years preceding diagnosis — suggesting AI tools may capture longitudinal risk signals beyond single-exam reads. Details and exact figures not reported in source.

• Study examined how AI risk scores on serial mammograms evolve over time before a breast cancer diagnosis; specific design, sample size, and quantitative results were not provided in the available snippet.
• Longitudinal AI risk trajectories — rather than single time-point scores — may improve early detection; clinical utility and lead time remain to be defined.
• Without full methods and validation details, it is unclear whether findings are internally or externally validated, limiting generalizability.

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