Evidence-based diagnostic reasoning with multi-agent copilot for human pathology

ArXi:2506.20964v2 Announce Type: replace-cross Pathology is experiencing rapid digital transformation driven by whole-slide imaging and artificial intelligence (AI). While deep learning-based computational pathology has achieved notable success, traditional models primarily focus on image analysis without integrating natural language instruction or rich, text-based context. Current multimodal large language models (MLLMs) in computational pathology face limitations, including insufficient