Deep learning predicts key breast cancer biomarkers in women, suggesting a non-invasive virtual biopsy approach.
Deep learning models applied to DBT images enabled non-invasive prediction of some key breast cancer biomarkers, especially ER status and TNBC type. This approach may function as a virtual biopsy to complement histopathology, guide biopsy targeting, and support treatment planning. Although preliminary, the findings highlight the potential of artificial intelligence-enhanced DBT assessment and warrant validation in larger, multi-center prospective studies.
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Aydıngöz et al. (2026) studied this question.
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