连发Nature、Cancer Cell：上海交大团队利用AI增强罕见病及癌症诊断

Core Insights - The article discusses the development of two groundbreaking AI models for medical diagnosis: DeepRare for rare diseases and KEEP for cancer diagnosis, both showcasing significant advancements in the application of AI in healthcare [3][6]. Group 1: DeepRare Model - DeepRare is the world's first AI-driven diagnostic system for rare diseases, surpassing the diagnostic accuracy of clinical experts with over ten years of experience [3]. - This model aims to provide hope for the 300 million patients suffering from rare diseases globally, marking a milestone in the integration of AI into clinical workflows [3]. Group 2: KEEP Model - KEEP is a knowledge-enhanced vision-language pathology foundation model designed for cancer diagnosis, outperforming existing models, particularly in rare cancer subtypes [6]. - The model integrates a comprehensive disease knowledge graph containing 11,454 diseases and 139,143 attributes, reorganizing millions of pathology image-text pairs into 143,000 semantically structured groups [11]. - KEEP has demonstrated superior performance on 18 public benchmarks (over 14,000 whole slide images) and 4 rare cancer datasets (926 cases), establishing knowledge-enhanced visual language modeling as a powerful paradigm in computational pathology [11].