The authors develop multimodal machine learning models to infer metastatic recurrence risk for early-stage, hormone receptor-positive breast cancer from H&E images using >6000 cases across three centers, outperforming a nomogram and unimodal methods.
- Kevin M. Boehm
- Omar S. M. El Nahhas
- Jakob Nikolas Kather
