专家：当前诊断应以医生为准 AI不承担法律责任

Core Viewpoint - The introduction of AI in medical settings raises significant questions regarding responsibility and accountability, particularly when AI and inexperienced doctors provide differing treatment recommendations [1][2]. Group 1: Responsibility and Accountability - The integration of AI in healthcare necessitates a clear definition of responsibility boundaries and risk-bearing entities, as doctors assume dual roles of "principal" and "agent" [2]. - Current discussions emphasize the importance of establishing responsibility recognition in AI applications, especially as AI penetrates grassroots medical institutions more rapidly than in top-tier hospitals [2][3]. - Despite AI's capabilities, the ultimate responsibility for medical decisions remains with the doctors, as AI is currently viewed as an auxiliary diagnostic tool [2][3]. Group 2: AI in Healthcare Industry - AI is increasingly being adopted by various tech companies in the healthcare sector, with notable developments such as Ant Group's AI doctor assistant product "Ant Aifu" and Huawei's establishment of a medical team focusing on AI-assisted diagnosis [3]. - Companies like JD.com are also enhancing their healthcare services by integrating AI applications, such as the "Kangkang" AI medical mini-program within their health app [3].