Core Insights - The RuiPath pathology model, co-developed by Ruijin Hospital and Huawei, aims to enhance the application of artificial intelligence (AI) in the medical field by providing an open-source core "visual foundation model" [1][2][4] - The model supports clinical applications across 19 common cancer types, covering approximately 90% of annual incidence rates in China, and facilitates hundreds of auxiliary diagnostic tasks [1][2] - The open-source initiative is expected to lower the deployment barriers for pathology AI, allowing grassroots hospitals to access clinical-grade model capabilities without extensive initial investments [2][5] Group 1: Model Development and Capabilities - The RuiPath model incorporates advanced features such as multi-modal pathology modeling, visual feature extraction, and deep sequence modeling, which are essential for comprehensive pathology diagnosis [1][4] - The model has achieved state-of-the-art (SOTA) performance in 7 out of 14 diagnostic tasks tested across 12 mainstream public datasets, demonstrating its clinical validation capabilities [1][5] Group 2: Collaboration and Implementation - The collaboration between Ruijin Hospital and Huawei has been ongoing for three years, focusing on end-to-end processes from data engineering to application engineering [5] - The use of Huawei's ModelEngine platform has streamlined the data annotation process, reducing the AI diagnostic application launch time from 10 days to 2 days [5] Group 3: Future Directions and Goals - The initiative aims to democratize AI capabilities in healthcare, with a focus on sharing high-quality medical resources and accelerating the clinical application of the RuiPath model [4][5] - Huawei plans to enhance the industry adoption of medical AI by standardizing data management, building shared data platforms, and exploring viable business models for AI in healthcare [4][5]

据华为数据储存，华为在CHIMA2025上展示了其助力医疗行业数智化转型的最新成果。华为医疗卫生 军团总裁张伟力强调，AI技术将提升医疗服务效率和优化资源配置。华为推出DCS AI解决方案，通过 ModelEngine工具链、DCS XPU池化和AI数据湖等技术，解决AI应用面临的挑战，提升模型训练和推理 效率，缩短数据准备和应用开发周期。合作医院已显著缩短业务上线周期，提升医疗服务质量与患者体 验。华为持续构建AI生态，推动医疗行业数智化发展。 ...