报告期内，公司向127家中国顶级医院以及44个监管机构和政策制定者提供了解决方案，累计覆盖超过 10,000家医院。公司以「数据要素×AI技术」双轮驱动，持续夯实数据智能基座并加速智能应用规模 化。大模型技术助力多家医院实现数据治理与科研平台升级，临床科研在肿瘤、呼吸、中医等多学科深 化拓展，医生Copilot产品矩阵实现诊疗全流程覆盖，单院使用超5万次，AI中台更支撑多个医院及医美 场景创新应用落地。报告期内公司服务的生命科学客户数量达到88家。头部20家跨国药企中，有17家是 公司的客户。在儿童罕见病、细胞治疗等前沿领域取得重要突破，并且成功支持多个首创药物加速获批 上市。健康管理平台和解决方案板块，公司在核心城市保持优势地位，已连续三年作为「深圳惠民保」 及连续五年作为「北京惠民保」的主运营平台，其中「深圳惠民保」在报告期内承保量再创新高，参保 人数突破615万，三年累计服务超1,800万人次，品牌忠诚度不断提升，在健康管理平台上至少完成一笔 交易的活跃用户数超过22百万名。 来源：格隆汇APP 作为集团的核心算法引擎，YiduCore在报告期内持续推进医疗垂直领域大语言模型的研发与训练，基于 超过50 ...

Core Insights - The company reported total revenue of RMB 358.1 million for the six months ending September 30, 2025, representing an 8.7% year-on-year increase, driven by significant growth in its big data and health management platforms [1] - The company narrowed its losses to RMB 15.8 million, a 72.0% reduction compared to the previous year, while cash flow from operating activities saw a 56.0% year-on-year decrease in net outflow [1] - YiduCore, the company's core algorithm engine, has made significant advancements in developing large language models for the healthcare sector, processing over 13 billion patient records [2] Financial Performance - Total revenue reached RMB 358.1 million, with big data platform revenue increasing by 14.6% and health management platform revenue growing by 30.3% [1] - The company’s loss for the period was reduced to RMB 15.8 million, indicating improved operational efficiency [1] - Cash reserves totaled RMB 2.0993 billion, reflecting a strong liquidity position [1] Technological Advancements - YiduCore has trained its large language model using over 500 billion high-quality tokens and has built a dataset covering more than 98 specific diseases [2] - The company won multiple awards for its medical NLP capabilities, including first place in the healthcare track at the "Data Elements ×" competition [2] Market Engagement - The company provided solutions to 127 top hospitals and 44 regulatory bodies, covering over 10,000 hospitals in total [3] - The number of life sciences clients reached 88, with 17 out of the top 20 multinational pharmaceutical companies as clients [3] - The health management platform has maintained a leading position in core cities, with over 6.15 million insured under the "Shenzhen Hui Min Bao" program [3]

Revenue Performance - For the six months ended September 30, 2025, the total revenue reached RMB 358.1 million, representing an 8.7% year-over-year increase[6]. - Revenue from the big data platform and solutions segment was RMB 153.2 million, up 14.6% compared to RMB 133.7 million in the same period last year[6]. - The health management platform and solutions segment saw a significant growth of 30.3%, with revenue increasing to RMB 66.7 million from RMB 51.2 million[6]. - Revenue for the reporting period reached RMB 138.3 million, a decrease of 4.4% year-on-year[20]. - Revenue increased by 8.7% from RMB 329.4 million for the six months ended September 30, 2024, to RMB 358.1 million for the six months ended September 30, 2025, driven by growth in the big data platform and health management solutions segments[32]. - Revenue from the big data platform and solutions segment rose by 14.6% from RMB 133.7 million to RMB 153.2 million, benefiting from expanded business opportunities due to policy support[32]. - Revenue from the health management platform and solutions segment surged by 30.3% from RMB 51.1 million to RMB 66.6 million, primarily due to changes in the product mix[32]. - Customer contract revenue for the six months ended September 30, 2025, was RMB 358,105 thousand, an increase of 8.3% compared to RMB 329,448 thousand for the same period in 2024[68]. Profitability and Loss - Gross profit for the period was RMB 134.0 million, reflecting a 14.2% increase from RMB 117.4 million in the previous year[6]. - Gross profit increased from RMB 117.4 million to RMB 134.0 million, with gross margin improving from 35.6% to 37.4%[34]. - Operating loss narrowed to RMB 15.7 million, a 71.0% improvement from a loss of RMB 54.3 million in the same period last year[6]. - Period loss reduced by 72.0% from RMB 56.4 million to RMB 15.8 million[41]. - Net loss for the period was RMB 15,760 thousand, a substantial reduction from RMB 56,362 thousand in the previous year[68]. - The company reported a basic and diluted loss per share of RMB 0.01 for the six months ended September 30, 2025, compared to RMB 0.04 in the same period of 2024[69]. Cash Flow and Financial Management - The net cash outflow from operating activities decreased by 56.0% year-over-year, indicating improved cash management[8]. - Cash and cash equivalents decreased from RMB 3,309.1 million to RMB 2,099.3 million as of September 30, 2025[42]. - Other income for the six months was RMB 80,916 thousand, slightly down from RMB 82,937 thousand in 2024[68]. - Total operating expenses, including cost of sales, sales and marketing expenses, administrative expenses, and R&D expenses, amounted to RMB 442,731,000 for the six months ended September 30, 2025, slightly up from RMB 435,455,000 in 2024[84]. User Engagement and Market Reach - The active user base on the health management platform exceeded 22 million, with over 615,000 participants in the "Shenzhen Hui Min Bao" insurance program[10]. - The "Shenzhen Huiminbao" program reached over 6.15 million participants, a historical high, with cumulative claims exceeding 390,000[24]. - Active users on the health management platform exceeded 22 million as of September 30, 2025[27]. Research and Development - The company has focused on breakthroughs in AI model development for the medical vertical, investing in a medical large language model with 70 billion parameters, trained on over 500 billion high-quality tokens[12]. - The AI-driven patient recruitment agent based on medical record understanding has significantly improved the efficiency of clinical trial recommendations and data utilization[14]. - The company has developed a lightweight application model that closely matches the performance of larger parameter models, reducing hardware computational requirements[12]. - The company has established a solid partnership network with key medical institutions and research organizations, enhancing its "AI + Medical Insurance" capabilities[21]. Awards and Recognition - The company has been recognized with industry awards, including first prize in the medical health track at the "Data Element X" competition and the best paper award at the CHIP 2025 conference[13]. Corporate Governance and Future Plans - The company has complied with the corporate governance code as per the Hong Kong Stock Exchange listing rules during the reporting period[55]. - The board of directors does not recommend the distribution of an interim dividend for the six months ended September 30, 2025[67]. - The company has no major investments or capital asset plans for the future as of September 30, 2025[46].

健康管理平台和解决方案（HMPS）新增河北和广州两地"惠民保"业务。 机构：光大证券 研究员：付天姿/王贇 事件：近期公司在AI 医疗创新领域取得多项进展，包括深度参与北京市医疗领域国家人工智能应用中 试基地、中标III 期临床研究项目、新增河北和广州两地"惠民保"业务。 深度参与中试基地建设，以核心技术共筑AI 医疗创新高地。9 月12 日，公司作为北京市医疗领域国家 人工智能应用中试基地的核心生态伙伴，深度参与平台建设与场景创新，推动多项标杆项目落地：开发 区域级受试者招募AI智能体，全面提升受试者招募效率与精准度，解决临床研究受试者招募难、招募 慢的核心痛点，已在6 个项目中落地验证；开发北京市AI 应用插件程序，以统一入口方式整合集成多 AI 应用，大幅减轻医疗机构用户操作和系统集成负担。2025 年8 月，国务院发布《关于深入实施"人工 智能+"行动的意见》，文件指出，要优化应用发展环境，布局建设一批国家人工智能应用中试基地。 而后，上海、北京、广州、浙江相继宣布启动医疗领域国家人工智能应用中试基地，我们认为公司基于 医疗大模型技术将深度受益。 生命科学解决方案（LSS）中标III 期临床研究项目， ...

智通财经APP获悉，11月23日，光大证券发布医渡科技（02158）跟踪研究报告指出，公司在AI医疗创 新领域取得多项实质性进展，医疗大模型已初步构建起"数据‑算法‑场景"飞轮闭环，推动业务在多场景 中加速落地。 9月，公司公告中标山东衍渡生物科技有限公司重组人神经生长因子(SMR001)滴眼液III期临床研究项 目，总金额约5582万元人民币。报告指出，凭借医疗大模型高效产出高质量临床证据与疾病知识图谱， 并结合真实世界研究能力，公司助力药企解决临床试验"耗时长、成本高、成功率低"的痛点。鉴于高质 量客户群不断扩大，报告认为公司中长期市占率有望进一步提升。 三、健康管理平台业务新增河北和广州两地"惠民保"业务 "河北医惠保"和"穗岁康"近日开放投保，医渡科技提供相关智能服务。截至目前，公司已深度参与5省 13市的"惠民保"项目，累计服务参保用户超4000万人次。公司依托智能模型与风险预测能力，为城市普 惠保险提供从产品设计到运营服务的全流程解决方案，报告认为医渡科技"惠民保"业务有望持续渗透高 能级城市。 报告显示，医渡科技近期在三大业务板块中均有亮眼表现： 光大证券看好医渡科技在AI医疗领域的持续创新与场 ...

智通财经APP获悉，光大证券发布研报称，考虑到公司在AI医疗创新领域取得多项进展，维持医渡科技 (02158)"买入"评级，近期公司在AI医疗创新领域取得多项进展，包括深度参与北京市医疗领域国家人 工智能应用中试基地、中标III期临床研究项目、新增河北和广州两地"惠民保"业务。 风险提示 深度参与中试基地建设，以核心技术共筑AI医疗创新高地 医疗数字化推进不及预期、医疗数字化行业竞争加剧、生命科学解决方案及健康管理平台和解决方案分 部商业化推进不及预期。 9月12日，公司作为北京市医疗领域国家人工智能应用中试基地的核心生态伙伴，深度参与平台建设与 场景创新，推动多项标杆项目落地：开发区域级受试者招募AI智能体，全面提升受试者招募效率与精 准度，解决临床研究受试者招募难、招募慢的核心痛点，已在6个项目中落地验证;开发北京市AI应用插 件程序，以统一入口方式整合集成多AI应用，大幅减轻医疗机构用户操作和系统集成负担。2025年8 月，国务院发布《关于深入实施"人工智能+"行动的意见》，文件指出，要优化应用发展环境，布局建 设一批国家人工智能应用中试基地。而后，上海、北京、广州、浙江相继宣布启动医疗领域国家人工智 ...

Investment Rating - The report maintains a "Buy" rating for Yidu Technology (2158.HK) [4] Core Insights - Yidu Technology has made significant advancements in AI medical innovation, including deep involvement in the National AI Application Pilot Base in Beijing and winning a Phase III clinical research project [1][2] - The company has expanded its health management platform and solutions by launching "Hui Min Bao" insurance services in Hebei and Guangzhou, enhancing its service reach [3] - Revenue and profit forecasts have been adjusted downward due to slower-than-expected progress in the AI digital therapy business, but the long-term market share is expected to improve [4] Summary by Sections AI Medical Innovation - Yidu Technology is a core partner in the National AI Application Pilot Base in Beijing, focusing on building a "data-algorithm-scenario" closed-loop for AI medical innovation [1] - The company has developed AI recruitment agents to improve clinical trial participant recruitment efficiency, successfully implemented in six projects [1] Clinical Research Projects - The company won a Phase III clinical research project for SMR001 eye drops, valued at approximately RMB 55.82 million, which is expected to enhance its market share in the long term [2] Health Management Solutions - The launch of "Hui Min Bao" in Hebei and Guangzhou has attracted over 200,000 participants on the first day, with the company serving over 40 million users across multiple provinces [3] Financial Forecasts - Revenue forecasts for FY2026 and FY2027 have been reduced by 19.4% and 24.9% to RMB 797 million and RMB 896 million, respectively, while FY2028 revenue is projected at RMB 1.007 billion [4][5] - The net profit forecast for FY2026 and FY2027 has been adjusted to -RMB 85 million and -RMB 36 million, with a positive net profit of RMB 8 million expected in FY2028 [4][5]

Core Viewpoint - The article discusses the challenges and potential of AI in healthcare, emphasizing that while AI shows promise in controlled environments, its integration into real clinical settings faces significant hurdles [1][2][4]. Group 1: AI Performance and Clinical Integration - Microsoft's AI diagnostic system scored four times higher than human doctors in a complex case test, highlighting AI's potential in medical diagnostics [1]. - A study from Harvard indicates that simply providing doctors with AI tools like ChatGPT does not improve diagnostic outcomes; optimal results occur when AI analyzes cases first, followed by human input [4]. - The disconnect between AI's technical capabilities and clinical needs is a core issue, as medicine requires both scientific and artistic approaches, which AI struggles to replicate [5]. Group 2: Challenges in Implementation - The integration of AI into clinical workflows is hindered by established practices among doctors, who may find AI tools burdensome rather than helpful [6]. - Medical data infrastructure is crucial for AI's effectiveness; for instance, Yidu Tech invested over $100 million over four years to build a data foundation necessary for AI applications [6]. - Patient trust remains paramount, as evidenced by a survey where none of the 3,000 patients chose hospitals based on AI tools, indicating that patients prefer human doctors over algorithms [6]. Group 3: Democratization of Healthcare - AI's ultimate goal is to democratize access to quality healthcare, as illustrated by a new insurance model in Beijing and Shenzhen that offers affordable premiums and high coverage [7]. - The use of AI in non-critical care settings is being explored to enhance service delivery, particularly in underserved areas [7]. - AI can reduce administrative burdens on doctors, allowing them to spend more time with patients, thus improving overall healthcare delivery [7]. Group 4: Future Collaboration Between Doctors and AI - There is a consensus that AI will not replace doctors; however, those who do not learn to utilize AI effectively may be outpaced by their peers [8]. - Medical education is evolving to include AI collaboration skills, ensuring future doctors can use AI tools while understanding their limitations [9]. - Continuous monitoring and optimization of AI tools are necessary to ensure they are user-friendly and effective for busy healthcare professionals [9].

Core Insights - The three principles proposed by the founder of Yidu Technology, Ms. Gong Rujing, emphasize that AI should not replace doctors, should remain contextually relevant, and should not abandon inclusivity in healthcare [1][9] - The forum held in Kuala Lumpur gathered global investment leaders and industry experts to discuss the future of AI in healthcare [1] Group 1: AI in Healthcare - Ms. Gong Rujing highlighted that there is no "universal AI," but rather precise solutions that fit into workflows, emphasizing the need for high-quality medical data and seamless integration into the entire diagnostic and treatment process [3][4] - Yidu Technology's "AI Medical Brain" YiduCore has processed over 6 billion medical records, establishing a robust foundation for AI applications in healthcare [4] - The company has developed over 1,000 intelligent agents covering various clinical needs, significantly improving efficiency and standardization in areas like oncology [4][6] Group 2: Inclusivity in Healthcare - The ultimate mission of AI in healthcare is to provide accessible and affordable health services to everyone, as stated by Ms. Gong Rujing [6] - Yidu Technology has participated in the development of health insurance projects across multiple provinces, offering insurance products with annual premiums as low as 100 yuan, benefiting millions [6][7] - The company has served over 40 million insured users, demonstrating the social equity driven by technology [6] Group 3: Globalization and Localization - Ms. Gong Rujing emphasized that globalization in AI healthcare should not be a mere replication of solutions but should involve "technology generalization + local adaptation" to create value with local partners [8] - Yidu Technology has implemented localized projects, such as the BruHealth digital health platform in Brunei, covering over 60% of the population [8] - The company is also involved in Singapore's "MIC@Home" project, supporting remote monitoring and management of discharged patients [8]

Core Viewpoint - The company, Yidu Tech (02158.HK), announced that it will hold a board meeting on November 27, 2025, to consider and approve its unaudited consolidated interim results for the six months ending September 30, 2025, and to discuss the potential declaration of an interim dividend, if any [1] Summary by Relevant Sections - **Company Announcement** - Yidu Tech will conduct a board meeting on November 27, 2025 [1] - The meeting will focus on the unaudited consolidated interim results for the six months ending September 30, 2025 [1] - The board will also consider the declaration of an interim dividend [1]