Core Viewpoint - The article highlights the significant advancement of the RuiPath pathology model, marking a transition from technological breakthroughs to ecological sharing in the field of domestic medical AI [2][4]. Group 1: RuiPath Pathology Model Development - The RuiPath pathology model, developed by Ruijin Hospital with support from Huawei, has progressed through two stages: "digitalization" and "intelligence" [2][11]. - The core visual foundation model of RuiPath has been open-sourced, utilizing over one million high-quality digital pathology slice data, and is supported by Huawei's AI toolchain, ModelEngine [4][11]. - The model covers seven common cancer types, including lung cancer and breast cancer, and provides testing datasets and practical guidelines for downstream tasks [4][6]. Group 2: Global Multi-Center Plan - On June 30, Ruijin Hospital, along with 12 domestic and international medical institutions, launched a global multi-center plan for the RuiPath pathology model to facilitate continuous iteration [5]. - The plan aims to enhance accessibility, promote standardization, and foster technological innovation in pathology diagnostics [6]. Group 3: Huawei's Initiatives - Huawei proposed four key initiatives to accelerate the implementation of AI in the medical sector, including standardizing and managing medical datasets, building a shared intelligent diagnostic data infrastructure, and promoting the standardization of data engineering and model engineering [8][9]. - The collaboration between Huawei and Ruijin Hospital serves as a significant case study, demonstrating the transition from digital pathology to intelligent pathology, with a focus on high-quality data accumulation [11][13].

Group 1 - The core viewpoint of the articles emphasizes the integration of AI technology into the healthcare sector, particularly in enhancing the quality and accessibility of medical services at the grassroots level [1][2][4] - The Chinese government has initiated a "strong foundation project" in healthcare, aiming to expand quality medical resources and improve regional distribution, with AI playing a crucial role in this strategy [1][2] - The healthcare sector is experiencing a transformation from a disease-centric approach to a health-centered model, facilitated by AI applications in various clinical scenarios [2][4] Group 2 - Huawei is increasing its investment in the healthcare sector, focusing on both high-level technical breakthroughs and empowering grassroots medical institutions through AI [4][10] - The establishment of the County Medical Community AI Ecological Academic Alliance aims to promote the deep integration of AI technology in county-level healthcare, facilitating a tiered diagnosis and treatment system [8][10] - Key hospitals are leveraging AI for diagnostic and treatment assistance, significantly improving efficiency and quality in healthcare delivery [5][6][12] Group 3 - Huawei's DCS AI solutions are designed to support the intelligent upgrade of county hospitals, providing a unified IT infrastructure and data management platform [12][13] - The DCS AI solutions have been successfully implemented in leading hospitals, optimizing and standardizing solutions for easier deployment in county-level healthcare [13][15] - The focus on safety and stability in AI applications is critical for the successful integration of AI in healthcare, with Huawei's innovations providing a reliable foundation for these technologies [15][17]