"这就好比中医院的'院内自制制剂'。"戴亚康打了个比方，医院无需再等待企业开发通用产品，而是可 以主动将临床数据转化为专属的"模型资产"，将AI模型研发生产的过程搬到医院内。"这样的模式更适 合医院本身的场景，比如，我国南方、北方的疾病谱是有一定差异的。利用区域性的数据训练之后，模 型会更适合本地区患者的特点。" 在临床应用端，该系统已展现出实效。以儿科为例，因儿童群体数据样本少，对模型算法提出更高要 求。团队采用了自监督学习和生成式AI等技术，有效降低对高成本标注数据的依赖，使模型能基于有 限样本快速适配专科需求。 戴亚康告诉记者，团队曾用人工智能辅助诊断儿童巨结肠病例，不仅采用了影像学、形态学上面的特 征，也将影像医生自己的评价作为参数参考，明显提高了模型诊断的准确率，准确率从77%提高到 87%。 在急重症场景中，"抢时间"极为重要，比如，对于肺炎患者，肺炎病原体的鉴别通常需要数天的实验室 培养，容易耽误急重症患者治疗。团队联合苏州大学附属第一医院，基于多中心CT影像训练识别模 型，可在扫描后快速判别细菌性、病毒性或真菌性肺炎，为早期精准用药提供依据。 □ 本报记者杨易臻 让基层医院都能拥有自己的"AI ...

Core Viewpoint - The strategic partnership between China Medical Industry Top 100 Company, Good Doctor Group, and AI innovator Hangzhou Quanzhen Medical Technology aims to enhance grassroots healthcare through AI solutions and a joint venture [1][11]. Group 1: Strategic Partnership - Good Doctor Group and Quanzhen Medical will establish a joint venture to provide a comprehensive healthcare management information system (HIS), AI large models (LLM), and a series of medical intelligent agents targeting grassroots healthcare [1]. - The collaboration will leverage Good Doctor Group's extensive market network and Quanzhen Medical's advanced AI model training and application capabilities to develop and deploy leading AI solutions for nearly one million grassroots medical institutions across China [1][11]. Group 2: Leadership and Vision - Good Doctor Group's Chairman, Mr. Geng Funeng, emphasized the importance of enhancing grassroots medical service capabilities as a cornerstone of building a healthy China [7]. - The partnership is seen as a significant step in combining world-class AI technology with strong market implementation capabilities, aiming to deliver top-tier AI intelligence to every grassroots corner in need [7][11]. Group 3: AI Technology Application - Quanzhen Medical's founder, Dr. Xue Chong, highlighted the successful application of their AI product, Trizen AI, in over a hundred top-tier hospitals in China, showcasing the potential for AI to decentralize healthcare [3][11]. - The goal of the collaboration is to create AI medical solutions that are truly applicable to China's grassroots healthcare settings, significantly improving efficiency and accessibility [11]. Group 4: Collaborative Efforts - During the signing ceremony, both parties exchanged constructive opinions and suggestions regarding national research, market, and brand cooperation, indicating a strong commitment to the partnership [12].

Core Insights - The 2025 Zhongguancun Forum recently released several cutting-edge achievements in the field of medical artificial intelligence, which will promote the widespread application of advanced technologies in this sector [1] - The "White Paper on the Development of Orthopedic Joint Surgery Robots Industry" was officially released, highlighting the standardization capabilities of surgical robots that enable both large and small hospitals to achieve similar surgical outcomes [1][2] - The future of medical AI transformation extends beyond surgical robots, with AI triage tools enhancing the efficiency of initial consultations and personalized health management for chronic disease patients [2] Group 1 - The orthopedic joint surgery robot has become a standard in large hospitals, with expectations for significant increases in its adoption over the next 3 to 5 years [2] - AI systems can encapsulate top-tier medical experiences, allowing grassroots doctors to access high-quality resources, thereby improving healthcare delivery [2] - The core of the medical AI transformation is not only technological iteration but also the realization of accessible and accurate healthcare solutions [2]