来源：投资界 原标题：85后马鞍山小伙搞医疗人工智能，年入2.9亿 近日，来自上海的上海森亿医疗科技股份有限公司（简称：森亿医疗）向港交所递交了招股书，拟以 18C规则冲刺港交所。 森亿智能是一家专注于将人工智能技术、大数据技术与健康医疗领域的应用场景相结合，提供数智化健 康医疗应用的人工智能企业。 根据灼识咨询的报告，按2024年的医院收入计算，森亿智能已经坐上了中国医院AI医疗解决方案供应 商的头把交椅，在全球大型医院（通常指500张床位以上的医院）的排行榜上，它也位列第四。 这家公司究竟是做什么的？它描述的"医疗人工智能"到底是什么？它又将如何影响我们普通人的就医体 验？ 01 森亿医疗创始人叫张少典，1988年出生的安徽马鞍山小伙，从上海交大ACM班（旨在培养计算机科学 家）的计算机高材生，一路读到美国哥伦比亚大学医学信息学博士——这个全球医疗AI的发源地。 博士*堂课上，系主任课件里的数字像重锤砸向他。2010年美国有25万人死于医疗差错，这个数字超过 战争、交通事故等致死人数总和，位列死亡原因第三。"用技术优化医疗决策"的念头，从此在他心里扎 根。 恰逢此时，他以友情地陪身份参与饿了么硅谷调研，两 ...

9月27日，首届医学人工智能大会（MAIC2025）在山东济南开幕。本次大会上，由深圳市宝安区卫生 健康局主导建设的"宝医数智"大模型平台首次登台亮相，吸引了全国医疗同行的广泛关注。 全市唯一：数据驱动决策实践获肯定 在人工智能引领大健康产业高质量发展专项政策引领下，再加上"宝医数智"大模型平台的加持，宝安区 公立医院和社康机构全力竞速AI+医疗赛道，医疗服务效能显著提升。 深圳市唯一区级、入选全国百强的"大模型驱动下的数据治理体系构建与智慧驾驶舱应用实践"案例，系 统展示了如何通过大模型技术对海量、多源的医疗数据进行高效治理与深度价值挖掘，并实现对区域医 值得关注的是，由宝安区卫生健康局选送、宝安区人民医院牵头实施的 "大模型驱动下的数据治理体系 构建与智慧驾驶舱应用实践" 案例，从国家卫生健康委征集的726项申报案例中脱颖而出，成功入选"医 学人工智能创新与实践典型案例"全国百强，也是深圳市唯一区级入选案例，成为区域医疗智能化建设 的标杆典范。 平台首秀：打造区域医疗智能中枢 宝安区委、区政府将医疗人工智能作为重点工作谋划推进，在今年年初启动全国首个区域医疗人工智能 中枢——"宝医数智"大模型平台项目，开 ...

Core Insights - The establishment of the National Artificial Intelligence Application Pilot Base in the medical field is a significant step in promoting AI applications in healthcare, aiming to enhance service efficiency and patient outcomes [1][5][6] - The base serves as a comprehensive "incubation factory" for hospitals and enterprises, providing a full range of services from diagnosis to drug development [1][5] - The AI interactive experience area at the base has attracted significant public interest, showcasing products like the "Fundus Disease and Major Chronic Disease Early Warning System," which can quickly identify various health risks [2][3] Group 1: AI Application and Services - The pilot base has launched 31 AI medical interactive products, with a focus on early detection of diseases through advanced imaging technology [1][2] - The "Fundus Disease and Major Chronic Disease Early Warning System" can automatically generate analysis reports within three minutes, identifying over 30 eye diseases and 10 systemic risks [2] - The base aims to create a unified support platform for medical institutions and technology companies, facilitating the entire process from technology validation to clinical trials and product promotion [5][6] Group 2: Challenges and Solutions - Data challenges, including ownership ambiguity and compliance issues, are significant hurdles in the development of AI applications in healthcare [7] - The base is working on establishing a trusted data space to facilitate the secure and efficient use of medical data, addressing the need for a robust data infrastructure [7][8] - A medical big model and application evaluation system is being developed to provide standardized assessments of AI applications in real clinical settings, ensuring quality and compliance [8] Group 3: Future Outlook - The pilot base envisions a future where efficient collaboration among enterprises and hospitals eliminates barriers to data access and product commercialization [9] - By leveraging AI for proactive health monitoring, the base aims to reduce disease incidence and enhance public health outcomes [9] - The ultimate goal is to integrate AI deeply into healthcare, allowing for early risk identification and timely interventions, thereby improving overall health value for individuals [9]

在国家发展改革委，国家卫生健康委，北京市委、市政府的指导下，北京市卫生健康委、北京市发展改革委积极推动中试基地建设。中试基地聚焦精准诊疗 和生物医药制造等领域"人工智能+"共性问题，构建行业共创平台，沉淀"算—数—模—用"共性支撑能力，培育产业共赢生态，争创具有全球影响力的医疗 健康人工智能创新策源地、应用高地和产业生态集群。 面向精准诊疗，中试基地将服务医疗机构、科研院所和科技企业等行业主体，打造"需求验证—产品研发—应用推广"全流程服务体系，加速医疗人工智能成 果孵化，让医疗健康服务更加安全、高效、公平、可及。面向生物医药制造，中试基地将服务医药企业、科研机构，构建"药物发现—临床前研究—临床试 验—上市审批"全流程服务体系，助力药物研发智能化转型，实现全流程提速增效，释放生物医药制造创新潜能。 会上，北京市卫生健康委员会副主任严进表示，"在全球人工智能科技竞争中，我们可以在高价值场景、高质量数据、高水平组织方面发挥优势"。高价值场 景方面，增加有效供给，优先解决死亡率、疾病负担排名靠前的疾病，以及资源短缺学科；促进公平可及，将专家智慧凝结为人工智能产品，推动优质医疗 资源向基层下沉；确保质量安全，提升诊 ...

Core Viewpoint - The establishment of the "Employee Innovation Studio" by the Beijing First Intermediate People's Court aims to provide judicial protection for enterprises throughout their lifecycle, focusing on legal risk prevention and supporting struggling companies like Ande Medical Intelligence to recover from financial crises [1][2][3]. Group 1: Judicial Support for Struggling Enterprises - The "Employee Innovation Studio" has successfully rescued 45 small and medium-sized enterprises over the past two years, providing them with legal guidance and support [1][6]. - Ande Medical Intelligence, a company specializing in AI applications in the medical field, faced a financial crisis due to failed financing and was able to initiate bankruptcy reorganization with the court's assistance [3][4]. - The court implemented a rapid reorganization process for Ande Medical Intelligence, which resulted in the approval of a reorganization plan within three months and attracted an investment of 150 million yuan [4][5]. Group 2: Legal Risk Prevention and Guidance - The studio has developed a comprehensive 300,000-word "Enterprise Full Process Legal Risk Prevention Guide," which addresses various legal risks that enterprises may encounter from establishment to termination [7]. - The guide has been well-received, with over 30,000 downloads of the electronic version, indicating strong interest from enterprises seeking to mitigate legal risks [7]. - The studio has also conducted research on typical and emerging issues related to labor relations and competition restrictions, contributing to judicial recommendations aimed at improving enterprise governance and addressing industry challenges [7].

Core Viewpoint - 联影智能, a subsidiary of 联影集团, is planning for an independent IPO, following a successful A-round financing of 1 billion yuan in June, with investments from various firms [1] Group 1: Company Developments - 联影智能 has launched 12 product platforms and over 100 AI applications, obtaining 13 Class III medical device certifications and 15 AI applications approved by the FDA, along with 31 applications certified by CE [1] - The company has developed the "元智" medical large model, integrating multiple modalities such as text, image, and voice, to create adaptive medical intelligence systems tailored for various healthcare scenarios [2] - The latest product, "放射智能体," can automatically identify 73 types of chest abnormalities from a single chest CT scan, showcasing a significant advancement over traditional single-disease AI products [2] Group 2: Market Opportunities - The company aims to achieve digital intelligence across hospitals, focusing on upgrading internal business systems and information systems in surgical and ward settings, which may lead to new growth opportunities despite varying market sizes [3] - AI technology has enabled hospitals to conduct specialized examinations that were previously unfeasible, enhancing their competitive edge [3] - For instance, a top-tier hospital in Wuhan increased its DR full spine scan examinations to over 5,000 after implementing AI, significantly improving efficiency and diagnostic support [3] Group 3: AI in Healthcare - AI technology can help grassroots medical institutions overcome limitations in professional capabilities, allowing them to perform important examinations without additional equipment or new fee schedules [4] - A secondary hospital in Zhejiang, after introducing AI-assisted diagnostic software, was able to independently conduct over 1,000 coronary CTA examinations in a year, demonstrating the practical value of AI in enhancing service levels [5] - The company is also focusing on AI-enabled research, collaborating with universities and hospitals on projects related to brain research in children, indicating a commitment to exploring new frontiers in neuroscience [5]

Core Insights - The forum focused on the inclusive path of medical AI and the construction of a global health ecosystem, featuring key figures from various sectors including medicine, research, and investment [1] - The collaboration between Sun Yat-sen University Cancer Center and United Imaging since 2018 has led to significant advancements in AI applications for cancer treatment, including online adaptive radiotherapy and AI for metastatic tumors [1][2] Group 1: AI Applications in Oncology - The AI applications for detecting brain and bone metastases have been implemented in over 400 hospitals nationwide, enhancing the efficiency and precision of cancer care for more patients [2] - A practical test demonstrated that AI-assisted doctors completed image diagnosis and report writing 25% faster than those without AI support, showcasing the technology's effectiveness in complex cases [2][3] Group 2: Impact on Grassroots Healthcare - The collaboration between United Imaging and Shache County People's Hospital has led to the development of an AI for rapid detection of suspected tuberculosis, improving screening efficiency and accessibility for local residents [3] - The integration of AI technology into healthcare systems is part of a broader initiative supported by national policies aimed at enhancing medical capabilities in rural areas [3]

Group 1 - The 2025 China International Service Trade Fair (CIFTIS) will focus on health and wellness services, scheduled from September 10 to 14 at Shougang Park, featuring two main exhibition areas: "Intelligent Therapy Cloud Matrix" and "Universal Health Service Matrix" [1] - The theme for the 2025 CIFTIS is "Digital Intelligence Leading, Service Trade Renewed," emphasizing the integration of digital technology and artificial intelligence in the service trade sector [3] - The health and wellness service section will highlight the dual empowerment of artificial intelligence and the healthcare industry, focusing on three key areas: AI infrastructure in healthcare, industry empowerment, and convenient healthcare services [4] Group 2 - The "Capital International Medical Conference" will be held with the theme "Open, Cooperation, Co-construction, Sharing," featuring a main forum and six parallel sub-forums covering topics such as medical innovation and integrated health services [5] - Representatives from companies like Eli Lilly China and GE Healthcare noted the increasing professional, market-oriented, and international operational capabilities of the health service section, positively impacting business development in Beijing [5] - The conference aims to promote dialogue across the entire policy-technology-service chain, enhancing international health cooperation and encouraging the application of innovative medical technologies [5]

Core Insights - The second Medical Large Model (LaMMs) seminar was held in Changzhou, Jiangsu, showcasing innovative AI-assisted tools and the unveiling of the "Changzhou Full Diagnosis Large Model Medical AI Engineering Research Center" [1][2] - Over 300 participants from the medical field, including managers, clinical experts, AI specialists, and industry representatives, engaged in discussions on the value of large model technology in enhancing hospital diagnostic efficiency and facilitating the intelligent transformation of AI medical services [1] Group 1 - The seminar focused on the innovative applications of medical large models in clinical practice, with discussions on how these technologies can empower the entire medical process, including triage, pre-consultation, outpatient services, hospitalization, and surgeries [1] - The newly established research center aims to enhance diagnostic efficiency and optimize medical resources by integrating industry, academia, and research resources, positioning itself as a key R&D base for medical AI technology in China [2] - A new "AI-assisted learning" tool for internal medicine was launched, transforming medical textbooks into an intelligent knowledge base, allowing doctors to access and clarify knowledge points anytime via mobile devices [2] Group 2 - A workshop on "Medical Large Model Fine-tuning and Intelligent Agent Construction" provided immersive training for hospital information center engineers, clinical research experts, and medical AI practitioners, addressing the practical challenges of implementing medical AI [2] - Participants experienced AI applications in five key scenarios at Changzhou First People's Hospital, including AI medical record generation, smart medical technology, smart wards, and smart health management, demonstrating the comprehensive application of AI throughout the diagnostic process [3] - The event was guided by the Chinese Hospital Association's Medical Artificial Intelligence Professional Committee and organized by Peking University Medical Continuing Education College, with support from various medical institutions [3]

Core Insights - The development of AI in healthcare is rapidly advancing, with discussions on the future of "AI doctors" taking place at the second Medical Large Model (LaMMs) seminar in Changzhou, Jiangsu [1][2] - AI technologies are being integrated into various aspects of healthcare, including patient guidance, automated medical record generation, and real-time monitoring of patient vital signs [1][2] Group 1: AI Integration in Healthcare - Changzhou First People's Hospital has implemented a fully automated process from patient guidance to nursing, significantly improving efficiency, such as using drones for sample transport, which is three times faster than traditional methods [2] - AI models are capable of automatically generating surgical records, reducing the risk of missing critical information during back-to-back surgeries [2] - The "intelligent microphone" technology converts doctor-patient conversations into structured electronic medical records, saving doctors 50% of their documentation time [1][2] Group 2: Challenges and Perspectives - Experts emphasize that AI should assist rather than replace doctors, highlighting the importance of human-machine collaboration in healthcare [2][3] - The complexity and privacy of medical data present significant challenges for the compliant use of AI in healthcare [2] - There is a consensus that the path to certified AI doctors involves overcoming technological, ethical, and legal hurdles, with a focus on training doctors to fine-tune AI models [3] Group 3: Future Developments - Changzhou First People's Hospital aims to cover 80% of its diagnostic processes with AI within the next three years, indicating a strong commitment to integrating AI into healthcare [3] - A new "Medical Artificial Intelligence Engineering Research Center" has been established in collaboration with Changzhou University and QuanZhen Medicine, focusing on technology development and clinical application [3]