Researchers reported a preoperative AI model that predicts breast cancer recurrence risk before surgery using multimodal imaging inputs. The approach used deep learning radiomics from multiparametric MRI to stratify patients into risk groups, achieving area under the curve values reported up to 0.95 and generating pre-surgical risk signals that could support tailored management plans pending prospective validation.