近日，世界人工智能大会（WAIC）在上海举行，AI圈顶流汇聚于此。一个愈发清晰的趋势已然浮现：AI的的主战场，正从大模型参数竞赛，转向深入产业 一线、寻求价值落地，解决真实问题。 "AI+医疗健康"，是此次WAIC的核心板块之一。如今行业讨论的焦点已不再是模型跑分的高低，而是AI如何切实地赋能诊疗、支付、新药研发等真实场 景，并完成商业化闭环。 医疗体系中，长期存在一个被称为"医疗不可能三角"的结构性困境：高质量服务、广覆盖人群与低成本共计，三者难以兼得。然而，随着AI和大数据能力 的加速成熟，产业平台的场景理解力不断增强，打破三角桎梏、推动医疗支付、动态优化医疗资源的重构，为大众提供更高质量的普惠医疗，未来有望成为 可能。 值得注意的是，在这场产业变革中，兼具技术整合能力与场景理解力的产业平台公司正在崭露头角。以医疗支付环节为例，总部位于上海的科技平台医药多 元支付平台型公司镁信健康正尝试将AI作为重构医疗支付生态的"底层操作系统"，从理赔等硬核场景切入，部署AI Agent集群，逐渐实现"医-药-险"三方价 值链的重构。 "今年WAIC将AI+医疗健康推向舞台中心，意味着大模型技术到了产业落地阶段。对企业 ...

Group 1 - The core viewpoint of the articles is that artificial intelligence (AI) is fundamentally reshaping the global healthcare industry, with approximately 80% of medical institutions deploying or planning to implement generative AI tools [2][3] - AI is becoming the core engine driving leapfrog development in the healthcare sector, enabling new applications in clinical diagnosis, drug and device development, and hospital management [1][2] - The integration of AI technologies into healthcare is leading to a new paradigm characterized by intelligent, precise, and personalized medicine [1] Group 2 - The rapid development of AI technology is profoundly reconstructing the entire healthcare industry chain, with significant advancements from research labs to clinical applications and hospital management systems [2] - Challenges such as data barriers, regulatory ethics, and technical standards are emerging as major obstacles to the development of AI in healthcare [3] - Trust issues and the "black box" nature of algorithms are identified as the biggest barriers to the application of AI in healthcare, necessitating the establishment of transparent and inclusive systems [3]

Core Insights - The "AI + Healthcare" transformation is a central theme at WAIC 2025, indicating a shift from technical competition to addressing real-world pain points in the healthcare sector [1] - The focus of AI in healthcare is moving towards solving issues like medication accessibility and complex insurance claims, rather than just enhancing model capabilities [1] Group 1: AI Integration in Healthcare - AI's competitive focus is shifting towards scene penetration rates, emphasizing the need for deep engagement in specific healthcare scenarios [1] - The collaboration of intelligent agents is essential, as single agents cannot address the entire healthcare chain effectively [1] - A data-driven model transformation is underway, moving health insurance from "post-event claims" to "prevention and intervention" [1] Group 2: AI Agent Application - The application of AI agents in healthcare payment scenarios is more stringent due to the complexities of medical expertise, insurance intricacies, and regulatory compliance [2] - Platform companies' capabilities in data accumulation, scenario insights, and technology integration are crucial for developing professional, collaborative, and compliant AI agents [2] - The AI agent matrix at the company includes a full-link layout: front-end interaction with Xiaofu, mid-platform decision-making with ClaimMaster, and back-end resource scheduling [2] Group 3: Future Competitiveness - The future competitiveness of AI companies will depend on their ability to demonstrate irreplaceability in the "efficiency improvement - cost optimization - ecosystem win-win" chain [3] - The realization of the WAIC vision of "intelligent collaboration" requires technology to be rooted in real-world scenarios and serve human needs [3]

Group 1 - The event "Intelligent Health, Leading the Future - Opening Ceremony of the Artificial Intelligence Medical Health Industrial Park" was held in Yinchuan, Ningxia, marking the establishment of the first AI medical health industrial park in the region [1] - The park aims to enhance the collaboration between enterprises and promote the transformation of AI technology in precision medicine and health management [1][3] - Ningxia Telecom has built the first "ten-thousand card level" intelligent computing base in Western China, providing AI-assisted diagnosis and mutual recognition of test results for 81 hospitals [1][2] Group 2 - The event highlighted the introduction of a health management pre-consultation model developed by Peking University and Beijing Boya Health Technology, which aims to address issues such as insufficient grassroots medical resources and data silos [2] - This model is based on serious clinical medical data and possesses strong multimodal medical data analysis capabilities, aiming to help the public manage their health effectively using AI technology [2][3] - The initiative will create a comprehensive AI engine for health management, covering screening, guidance, monitoring, quality control, and evaluation, allowing residents to access precise health care from home [3]

博雅全健聚焦人工智能和医疗健康科技的深度融合，构建了"技术研发－场景落地－产业赋能"的全链条 运营体系。一方面，依托公司的医疗健康软件平台，博雅全健与北京大学医学部下属医院合作，深度运 用各医疗细分领域数据，开发契合不同场景需求的医疗细分领域应用大模型；另一方面，通过搭建开放 协作的生态平台，联合科研院所、医疗机构及产业链上下游企业，在AI辅助诊断等方面持续提升技术 转化与场景落地效能。 格隆汇7月21日丨泰达生物(08189.HK)公告，于2025年7月21日，集团附属公司北京博雅全健智算科技有 限公司("博雅全健")与中电信数智科技有限公司宁夏分公司("中电信")签署战略合作框架协议。双方充分 发挥各自资源、人才和技术优势，在医疗健康大数据应用、人工智能应用场景落地，包括上述领域的线 上线下专业化运营、渠道发展、成果转化等方面建立长期战略合作关系。 董事会认为，签订战略合作协议，可借助中电信在宁夏地区强大的网络资源、算力支撑、基础设施及数 据优势，并充分发挥博雅全健在人工智能与医疗健康融合领域的技术研发实力、科研成果转化能力，实 现资源互补与合作共赢。通过合作，博雅全健可加速AI医疗健康垂类技术研发与场景 ...

Core Insights - The article highlights the successful large-scale deployment of AI health detection devices, "Xuanhuang Shiyi" and "Yuemujia," developed by Guanwai Intelligent Technology in 12 medical institutions in Beijing, marking a significant step in the integration of AI and healthcare in the region [1][2] Group 1: Product and Technology - The "Xuanhuang Shiyi" device can assess health status across 80 indicators related to 8 major systems and 50 organs within just 2 minutes, providing personalized nutritional intervention plans [1] - The "Xuanhuang" model, a key innovation, integrates traditional Chinese medicine diagnostics with Western medical data, creating a comprehensive knowledge graph for health management [1] Group 2: Market Expansion and Future Plans - Guanwai Intelligent has already recorded 1.475 million health analyses across various regions including Hebei, Hunan, and Zhejiang, indicating a growing acceptance and application of their technology [2] - Future plans include expanding device deployment in elderly care, community, and school settings, as well as launching multilingual versions to tap into overseas markets [2] Group 3: Industry Development and Support - The establishment of the "Big Health AI Open Innovation Platform" aims to integrate resources from the Beijing-Tianjin-Hebei region, facilitating clinical validation and application of AI technologies in healthcare [2] - The Huairou District is home to 220 high-tech enterprises and 209 specialized and innovative companies, with ongoing policy support to enhance financing and collaboration in sectors like AI and new materials [2]