中经记者索寒雪北京报道 在未来的临床场景中，可能会出现这样一幕：一方是经验尚浅的年轻主治医生，另一方则是经过海量病 例训练的人工智能系统。当二者针对同一名患者给出不同诊疗建议时，由于信息与权威的不对称，年轻 医生往往面临较大的心理与专业压力，难以直接反驳AI结论。 一位国家卫生健康委基层司相关人士向记者表示，基层医生通常被认为主要擅长常见病、多发病的诊 疗，而AI是通过大规模数据训练形成的智能模型，能够在一定程度上为部分疾病提供相对科学的参考 判断，实现"补位"作用。 该人士进一步表示："AI对于医生而言，是对专业知识乃至跨学科知识的重要补充，这一点对基层医疗 卫生机构的医生来说尤为关键。" 如果医生采纳了AI的错误判断，结果可能被视为技术问题；但若医生否定AI建议却最终判断失误，则 更容易被归因于个人能力不足。这种潜在的责任错位，正成为AI进入医疗场景后亟须回应的现实问 题。 近日，围绕AI诊疗结论的责任归属问题，业内展开了多方讨论。 中国人民大学人口与健康学院党委书记宋月萍在接受《中国经营报》记者采访时表示，智能体的引入， 使医生在医疗行为中同时兼具"委托人"和"代理人"的双重角色，必须通过制度设计明确责 ...

截至2025年12月26日收盘，安必平（688393）报收于23.99元，较上周的24.95元下跌3.85%。本周，安 必平12月22日盘中最高价报26.0元。12月24日盘中最低价报23.04元。安必平当前最新总市值22.17亿 元，在医疗器械板块市值排名121/127，在两市A股市值排名5001/5181。 本周关注点 股本股东变化 股东增减持 12月30日安必平发布公告，其股东重庆高特佳睿安股权投资基金合伙企业(有限合伙)、诸暨高特佳睿安 投资合伙企业(有限合伙)、杭州睿泓投资合伙企业(有限合伙)、杭州高特佳睿海投资合伙企业(有限合伙) 于2025年12月1日至12月30日间合计减持68.58万股，占公司目前总股本的0.7329%。变动期间该股股价 下跌3.84%，截止12月30日收盘报23.8元。 机构调研要点 问：今年12月国家医保局印发《病理类医疗服务价格项目立项指南（试行）》，与安必平业务相关的有 哪些？ 答：该立项指南与安必平业务相关的主要是1）数字化切片和上传病例诊疗报告部分，如果未能提供相 应服务的，执行减收政策，减收标准为5元每切片，单次检查或复制多张切片的，最高减收不超过15 元。2） ...

医院选择AI产品时，安必平优势在于试剂、设备、扫描仪一体化，其AI针对进口液基细胞学产品训练 后灵敏度与自有试剂一致；宫颈细胞学AI临床测试结果发表于《Nature Communications》，可将初级病 理学者平均灵敏度从0．717提升至0．858、阅片时间从218s／片缩短至30s／片。其他AI布局方面，免 疫组化AI已有成形产品将尽快报证，FISH领域收购荧光扫描仪厂商后AI布局中，预计2026年底开始报 证。 调研详情如下： 投资者关系活动主要内容介绍 1． 今年 12月国家医保局印发《病理类医疗服务价格项目立项指南（试行）》，与安必平业务相关的有 哪些？ 答：该立项指南与安必平业务相关的主要是： 1） 数字化切片和上传病例诊疗报告部分，如果未能提供相应服务的，执行减收政策，减收标准为 5元 每切片，单次检查或复制多张切片的，最高减收不超过 15 元。 2） 公司的宫颈细胞学 AI三类证目前在注册过程中，政策把 AI辅助诊断作为拓展项，这样 AI应用就有 了收费落地的场景。 2025年12月29日，安必平披露接待调研公告，公司于12月21日至12月26日接待淡水泉（北京）投资、湘 财证券、中信资管 ...

2025深圳 国际高性能医疗器械展暨创新医药展现场。主办方供图 加拿大皇家学院院士李仁科表示，十余年前国内医疗器械以模仿、跟随为主，当前已实现从模仿到自主 创新的突破，拥有自主新产品、新专利，整体发展水平与世界并驾齐驱，发展成果令人震撼。 他同时指出，未来医疗器械不应是"硬邦邦"的传统器械，而是整合生物工程、细胞技术、AI、大数据等 多领域技术，突破传统器械的局限，向智能化、个体化、"活性化"发展，实现与人体深度融合，真正聚 焦解决人体健康与疾病问题。 来源：中国青年报客户端 中国青年报客户端讯（中青报·中青网记者 刘芳）12月20日，2025深圳国际高性能医疗器械展暨创新医 药展（以下简称"展会"）在深圳落幕，为期3天的展会汇聚全球300余家企业，集中展示千余件创新产 品，同步发布系列产业重磅成果与多项医工合作项目，全方位呈现我国药械产业从"技术追赶"向"创新 引领"跨越的发展态势。 展会核心亮点之一是系列年度创新成果的集中亮相。由国家高性能医疗器械创新中心发起的"2025年度 医疗器械行业创新生态洞察评估"结果正式揭晓，涵盖企业、产品、医院、高校等带来的11项评估结 果。其中"新锐企业100强"覆盖高端医 ...

Core Viewpoint - The blood gas analyzer market in China is experiencing a transition from large hospitals to grassroots medical institutions, with a significant increase in procurement in 2023, followed by a decline in 2024 and 2025 due to various factors including medical insurance cost control [1][5][9]. Overview - Blood gas analyzers are high-tech diagnostic instruments used to measure parameters such as pH, PCO2, and PO2 in arterial blood, featuring automated calibration and diagnostics [2][3]. - The market for blood gas analyzers is entering a deep adjustment period, with procurement volumes and values showing significant fluctuations [1][9]. Market Policy - The Chinese government emphasizes the development of the medical device industry, including blood gas analyzers, through various policies aimed at ensuring product quality and patient safety [6][7]. Industry Chain - The upstream of the blood gas analyzer industry includes suppliers of raw materials and core components, while the midstream involves R&D and manufacturing, and the downstream consists of hospitals and healthcare institutions as the primary demand market [7][8]. Current Development - In 2023, the total procurement of blood gas analyzers in China reached 965 units, a year-on-year increase of 22.77%, with a total procurement value of 0.95 billion yuan, up 9.20% [1][9]. - The market is seeing a shift in demand from high-end hospitals to grassroots healthcare facilities, with a notable decline in procurement expected in 2024 and 2025 [1][9]. Competitive Landscape - The market has historically been dominated by foreign brands like Radiometer and Wofun, but domestic companies such as Libang and Kangli are gaining market share, with Libang achieving a market share of 24.28% in 2025 [10][12]. - The overall market share of domestic blood gas analyzers reached 48.44% in 2025, indicating a significant shift towards local production and innovation [10][12]. Future Development Trends - The integration of AI algorithms with blood gas analyzers is expected to enhance diagnostic accuracy and provide preliminary treatment suggestions, while advancements in 5G and IoT will facilitate remote data access and device management [14]. - The trend towards miniaturization and ease of use in portable blood gas analyzers is anticipated to grow, catering to various clinical scenarios [14].

本研究由 解放军总医院牵头，联合浙江大学医学院附属第二医院、复旦大学附属华山医院等共 11 家国内顶尖三甲医院，携手南京大学、吉林大学两所重点高校， 并汇聚 Pi3Lab、上海三友医疗器械股份有限公司 等产学研多方力量，共同完成了首个面向脊柱诊疗领域的大模型研发。 论文共同第一作者包括 赵明、董文辉博士、张阳医生， 核心贡献者包括来自 浙江大学医学院附属第二医院的陈其昕教授、夏顺楷医生，以及复旦大学附属华山医 院的马晓生教授、管韵致医生等。 通讯作者为 解放军总医院骨科医学部副主任孙天胜教授， 共同通讯作者为 南京大学智能科学与技术副院长单彩峰教授。 脊柱疾病影响全球 6.19 亿人，是致残的主要原因之一 。然而，现有 AI 模型在临床决策中仍存在「认知鸿沟」。缺乏椎体级别（level-aware）、多模态融合的指令 数据和标准化基准，是制约 AI 辅助诊断的关键瓶颈。 本文提出了一套统性的解决方案，包括 首个大规模、具有可追溯性的脊柱指令数据集 SpineMed-450K，以及临床级评测基准 SpineBench。 基于此训练出的专科 大模型 SpineGPT，在所有任务上均实现了显著提升， 仅仅 7B 参 ...

Core Points - The launch of the national medical insurance imaging cloud for cross-province retrieval marks a significant advancement in medical imaging services, allowing for seamless access to patient imaging data across different regions [1][2][3] - The initiative aims to enhance diagnostic accuracy and efficiency by overcoming traditional barriers associated with physical film storage and retrieval, thus facilitating better patient care [2][3][4] Group 1: Technological Advancements - The transition from traditional film to cloud-based imaging solutions addresses the limitations of physical films, such as their bulkiness, susceptibility to damage, and inability to capture detailed images [2][3] - The national medical insurance imaging cloud has indexed over 170 million imaging records, with a goal to establish a "national network" by 2027 [3] Group 2: Operational Efficiency - The implementation of a unified platform and indexing standards allows for efficient storage and retrieval of imaging data, significantly reducing costs associated with data transmission [3] - The cloud service is priced at 5 yuan per person per imaging instance, promoting local storage and cross-regional transmission as a medical service [3] Group 3: Patient-Centric Care - Patients can now access, download, and share their imaging data without incurring additional fees, which enhances the convenience of tiered medical services and remote consultations [3][4] - The ability to consult with high-level medical institutions remotely improves diagnostic quality and resource utilization across the healthcare system [4][5] Group 4: Future Innovations - The data generated from imaging services is expected to drive innovations in AI-assisted diagnostics and remote medical applications, further benefiting patients and healthcare professionals [4]

Core Insights - The national medical insurance imaging cloud cross-province retrieval was launched on November 20, aiming to facilitate access to imaging examination results for patients, peers, and insurance verification [1] Group 1: Implementation and Coverage - 24 provinces and the Xinjiang Production and Construction Corps have completed the deployment of the medical insurance imaging cloud software [1] - The National Medical Insurance Administration has aggregated over 170 million pieces of medical insurance imaging cloud index data, with a goal to achieve a "national network" by 2027 [1] Group 2: Benefits and Innovations - Patients can browse, download, and share their imaging examination data multiple times without incurring additional fees, enhancing the convenience of hierarchical diagnosis and cross-regional referrals [1] - The data is expected to contribute to technological innovations, including AI-assisted diagnosis and telemedicine research and applications [1]

Core Points - The national medical insurance imaging cloud cross-province retrieval officially launched on November 20, aiming to eliminate repeated examinations for patients and facilitate access to medical imaging data across different hospitals [1][2] Group 1: Benefits of Medical Imaging Cloud - The medical imaging cloud addresses the pain points of patients by reducing the frequency of repeated examinations, which has been a significant issue in cross-province medical services, with over 650 million direct settlements during the 14th Five-Year Plan period [2] - The integration of personal health data allows for a comprehensive medical history, enhancing personalized health management and improving diagnostic accuracy by providing doctors with access to historical imaging data [2] - The cloud-based system is expected to significantly reduce misdiagnosis and missed diagnoses, as it offers a vast pool of standardized data for AI-assisted diagnostics, improving the quality of medical services [2] Group 2: Challenges and Resistance - Concerns have been raised regarding the potential resistance from medical institutions due to the impact on revenue from imaging fees, which are a significant source of income for hospitals [3] - The national medical insurance bureau estimates that the unified platform could save approximately 80 billion yuan annually by reducing redundant examinations and physical film costs, which could be redirected towards medical innovation and digital technology reforms [3] Group 3: Information Security - Patient data security is a priority, with strict authorization protocols in place for accessing imaging data from other medical institutions, ensuring that patient consent is obtained before any data retrieval [4] - The medical insurance information platform maintains high security standards to protect patient information, and future measures will further enhance data protection [4] Group 4: Future Scope of Cross-Province Retrieval - The goal is to establish a nationwide medical insurance imaging cloud by the end of 2027, which will enable access to imaging data wherever there is medical insurance coverage [5] - The national medical insurance bureau has developed a unified indexing system for imaging data, allowing for efficient storage and retrieval across over 1 million designated medical institutions, covering more than 1.3 billion insured individuals [5] - The medical insurance cloud has already indexed 170 million imaging records, demonstrating the feasibility and effectiveness of this model [5]

Core Points - The National Medical Insurance Administration (NMIA) launched a nationwide medical insurance imaging cloud for cross-province retrieval, allowing patients' digital imaging data to be uploaded to a recognized storage center for easy access across regions and institutions [1][3][4] - As of November 20, the NMIA has collected over 170 million medical insurance imaging index records [2] - The initiative aims to address the issue of repeated medical examinations when patients seek care in different hospitals, especially across provinces, thereby improving patient experience and reducing unnecessary costs [3][4] Group 1 - The NMIA is focused on resolving challenges related to the accessibility and sharing of imaging data, including difficulties in finding data, high costs, and slow retrieval processes [3][4] - By the end of 2027, the NMIA aims to establish a unified national medical insurance imaging cloud network [4][5] - The Beijing University Third Hospital (Peking University Third Hospital) has already implemented five cross-province retrieval routes, enabling access to imaging data from various regions [3][5] Group 2 - As of November 18, 24 provinces and the Xinjiang Production and Construction Corps have completed the deployment of medical insurance imaging cloud software, enabling cross-province retrieval capabilities [7] - The NMIA has initiated a centralized procurement model for cloud imaging services, which will not increase the financial burden on local governments [5][6] - The Peking University Third Hospital has enhanced its information system to support cross-regional imaging retrieval and is working on improving user experience and data security [8]