在第78届世界卫生大会(WHA78)期间，以"数智赋能初级卫生保健促进全民健康覆盖"为主题的中国专场 边会引发国际社会广泛关注，中国利用数智技术赋能初级卫生保健的有关经验也获广泛赞誉。国家卫生 健康委员会英文官网同步开设专栏，展示了用数智赋能基层卫生的中国实践。其中，讯飞医疗智医助理 凭借在基层医疗智能化赋能方面的突破性应用入选。这标志着人工智能辅助基层诊疗领域的技术突破与 规模化应用获得了国家层面的高度认可，生动诠释了"健康中国"战略下数字技术与医疗卫生深度融合的 创新路径，也为全球基层医疗发展提供了中国智慧和中国方案。 学文献，构建起"一站式"医学知识检索平台。医生可随时调阅最新诊疗规范与前沿技术，实现"边诊疗 边学习"，持续提升专业能力。这一功能不仅解决了基层医疗资源分布不均的难题，更通过技术赋能助 力医生成长，形成"以用促学"的良性循环。 作为基层医生的效率"倍增器"，智医助理通过智能语音外呼功能，批量完成慢性病随访、健康宣教、体 检通知、疫苗接种提醒等重复性工作，且外呼结果可自动生成数据报表，便于医生针对性地人工干预， 不仅有效减轻了医生的事务性负担，使其能够将更多时间投入到重点人群的服务中，还显著 ...

2025.06. 09 本文字数：5048，阅读时长大约8分钟 作者 | 第一财经 钱童心 今年上半年，医疗AI大模型成为各家医院争相布局的热门赛道。截至目前，包括上海中山、瑞金、 仁济在内的头部三甲医院都高调发布了心血管、病理、泌尿科等不同疾病领域的AI模型，而为这些 大模型提供软件和算力支持的企业也逐渐浮出水面。 第一财经记者从采访中了解到，为AI医疗大模型买单的头部三甲医院并不多，而通过公开信息搜 索，记者发现，动辄投入数百万元预算采购医疗大模型的大部分都为地方政府的采购项目。 常州市第一人民医院已于今年上半年先后启动两项公开招标，采购AI医疗大模型平台，整体预算接 近1000万人民币。 业内人士告诉第一财经记者，AI医疗模型已经在诸如病理等垂直领域展现出应用潜力，但在更通用 的大语言模型（LLM）的应用部署方面，还面临诸多挑战。 数百万一台的一体机效果如何？ 今年至今，国内已有上千家医院先后宣布完成DeepSeek开源模型的本地化部署，应用场景涵盖医学 科研、辅助诊断乃至医疗服务全流程。 一家为某头部三甲医院提供AI软件的医疗科技公司负责人刘斌对第一财经记者表示，号称接入 DeepSeek的医院已经有 ...

近期港股AI医疗赛道表现强劲，相关个股涨幅显著。健康之路股价短短三个交易日飙升49.13%，美丽 田园医疗健康单日大涨34.25%，云顶新耀、医渡科技等个股同样录得可观涨幅。这一轮上涨行情背 后，港股流动性环境的改善为AI医疗概念股提供了有力支撑。 部分企业通过AI技术筛选靶点，效率提升达到80%，这一技术进步加速了创新药从实验室到临床的转化 进程。晶泰科技等公司在AI药物研发平台建设方面取得重要进展，与韩国药企JW Pharmaceutical签署千 万级人民币战略合作协议，为其提供基于人工智能的化学反应优化平台。 医疗数据应用价值凸显 医疗相关数据作为人工智能计算和训练的底层基础，其数量和质量直接影响AI医疗产品的效能。能够 充分获取并利用高质量诊疗数据的公司具备明显的竞争优势，基因测序等体外诊断服务提供商、大型医 疗集团在这一领域表现突出。 医渡科技旗下EVYD公司与文莱卫生部合作打造的BruHealth 5.0正式发布，该一站式全民健康管理应用 展现了AI技术在医疗数据应用方面的潜力。讯飞医疗科技推出的星火医疗大模型X1在诊断推荐、健康 咨询等医学任务上的表现超越了GPT-4o及DeepSeek R1 ...

Summary of Conference Call Notes Company and Industry Overview - The conference call involved **iFlytek Medical**, a company specializing in AI-driven healthcare solutions, particularly in the field of medical big models and patient management systems [1][2]. Key Points and Arguments Financial Performance - In 2024, iFlytek Medical achieved a revenue of **734 million** (CNY), representing a **32% year-on-year growth**. Gross profit reached **404 million** (CNY), with a **28% increase** year-on-year [3][4]. - The revenue structure improved, with G-end revenue growing by **10%**, B-end (hospital services) revenue increasing by **103%**, and C-end (patient services) revenue rising by **57%** [4]. - Sales collections grew by **33%**, and operational cash flow improved by **57%** year-on-year. Accounts receivable at year-end stood at **930 million** (CNY), with **76%** from government and state-owned enterprises [5]. Technological Advancements - iFlytek Medical has developed the **X1 medical big model**, which has surpassed the capabilities of existing models like GPT-4O in medical applications. The model can achieve diagnostic accuracy comparable to that of a deputy chief physician [6][7]. - The company has integrated various data types (voice, images) into its model, enhancing its ability to provide comprehensive patient services [8]. - iFlytek Medical's big model has been trained on a vast dataset, creating a **data flywheel** effect that continuously improves its performance through real-world applications [19][21]. Market Position and Strategy - iFlytek Medical aims to leverage its AI capabilities to enhance healthcare delivery across G-end (government), B-end (hospitals), and C-end (patients) sectors, establishing a diversified product matrix [9][10]. - The company has established partnerships with top hospitals, enhancing its credibility and market reach. It has covered **31 provinces** and provided services to over **910 million** patients [10][11]. - The government has shown support for AI in healthcare, with policies promoting the application of big models in various sectors, which bodes well for iFlytek Medical's growth [10]. Challenges and Opportunities - The company faces competition from other AI healthcare providers but believes its proprietary technology and data capabilities give it a competitive edge [31][34]. - iFlytek Medical is focused on expanding its services in both urban and rural healthcare settings, addressing the need for balanced medical resource distribution [10][36]. - The company is also exploring opportunities in post-discharge patient management, which is becoming increasingly important as healthcare systems emphasize continuity of care [53][54]. Other Important Content - iFlytek Medical's AI solutions have been implemented in various hospitals, including **Qilu Hospital** and **Shandong Provincial Hospital**, demonstrating the practical application of its technology [15][16]. - The company has developed a comprehensive patient management system that includes follow-up care and personalized health plans, which has shown to reduce readmission rates significantly [55][56]. - iFlytek Medical's collaboration with **Huawei** focuses on providing computational power and data centers, enhancing its operational capabilities in the healthcare sector [43][44]. This summary encapsulates the key insights from the conference call, highlighting iFlytek Medical's financial performance, technological advancements, market strategies, and the challenges and opportunities it faces in the evolving healthcare landscape.