BreastGPT: A Multimodal Large Language Model for the Full Spectrum of Breast Cancer Clinical Routine

ArXi:2606.04911v1 Announce Type: cross Breast cancer remains a leading cause of cancer-related mortality among women. Its clinical management requires multimodal reasoning across a clinical workflow that spans \textit{screening}, \textit{diagnosis} and \textit{treatment planning}, where each stage involves distinct imaging modalities, task objectives, and reasoning patterns. However, constrained by data scarcity and model versatility, existing medical MLLMs are typically evaluated on isolated modalities or narrow task families, limiting their ability to workflow-level clinical reasoning.