6月8日，2025年中国国际服务贸易交易会（以下简称"服贸会"）健康卫生服务专题推介暨首都国际医学大会启动会在国家会议中心召开。北京商报记者在会 上了解到，2025年服贸会健康卫生服务专题将于9月10日—14日在首钢园举行，专题将在二号馆设置"智疗云枢前瞻矩阵"和"全民健康服务矩阵"两大展示和 体验区域，同期将举办"首都国际医学大会""全球健康北京论坛""中医药健康产业国际智库论坛"等多场高级别专业会议活动。 北京市卫生健康委主任刘俊彩代表专题牵头单位表示，2025年服贸会健康卫生服务专题展以"全球服务 共享健康"为永久主题，进一步聚焦"创新、智能、发 展、惠民"，以实现人工智能+医疗健康行业产业双向赋能，协同发展为目标，着眼北京市医疗人工智能基础设施建设、医疗产业赋能以及医疗行业便民服 务这三大关键方向，全方位呈现首都人工智能与医疗健康深度融合的建设成就与创新实践，从而让参展参会的观众深度参与和体验人工智能为卫生健康服务 带来的新变化、新趋势、新方向。现场开设"服贸健康大讲堂"，策划"中医药24节气养生打卡"活动，围绕体重管理、心理健康管理等话题开展科普知识讲 座，持续提供可观、可感、可获及、接地气的健康科 ...

本次会议中，常州市第一人民医院与常州大学、全诊医学联合共建的"常州市全诊大模型医疗人工智能 工程研究中心"宣布成立。该中心聚焦医疗人工智能的研发应用，旨在推动诊疗效率提升和医疗资源优 化，整合产学研资源，促进医疗智能化转型发展。未来，三方将联合将其建设为国内医疗AI技术的重 要研发基地。 第二届医疗大模型(LaMMs)专题研讨会近日在江苏常州举办，人工智能(AI)助学工具等多项创新成果呈 现，"常州市全诊大模型医疗人工智能工程研究中心"也在本次大会上揭牌。 来自全国的300余名医疗领域管理者、临床专家、AI领域专家及产业代表与会，通过主题演讲、圆桌讨 论、医疗大模型精调与智能体构建工作坊、智慧医院建设观摩交流等形式，深入探讨大模型技术在提升 医院诊疗效率、助力AI医疗服务智能化转型等方面的价值。 会议首日聚焦医疗大模型在临床实践中的创新应用，专家从医疗大模型技术底层原理到应用场景落地展 开深度探讨。多位公立医院管理者结合实践案例，围绕AI+公立医院高质量发展、医学教育创新、医疗 服务优化、医疗效率提升、患者健康管理、临床科研等议题，深度解析大模型技术如何赋能医疗全流 程，在导诊、预问诊、门诊、住院、手术等核心 ...

会议期间，常州一院与常州大学、全诊医学共建的"医疗人工智能工程研究中心"正式揭牌。该中心 将聚焦技术研发与临床转化，目标成为国内医疗AI的"创新引擎"。(完) 全诊医学创始人薛翀表示："不同模型在数据积累、场景适配性上各具优势，医院需根据需求'量体 裁衣'。"然而，技术落地仍面临多重挑战，模型与临床需求脱节是目前存在的主要问题。 尽管前路漫漫，与会者仍对医疗AI充满期待。常州一院党委书记华飞表示，常州一院计划在未来 三年内将AI覆盖全院80%的诊疗流程。"AI不会淘汰医生，但会用AI的医生可能淘汰不会用的医生。"专 家们一致认为，AI医生的"持证"之路需攻克技术、伦理、法律三重关卡。而当下，让医生掌握大模型精 调能力，推动人机深度融合，或是迈向智慧医疗的关键一步。 常州一院院长周军介绍，该院从导诊、检查到住院护理，已实现全流程智能化升级：无人机通过 5G-A低空医疗航线，仅需7分钟即可将基层医院的检验样本送至院本部，效率较传统运输提升3倍；在 手术室，AI大模型可自动生成手术记录，避免医生因多台手术连轴转而遗漏关键信息；住院部配备的 智能床垫实时监测患者生命体征，一旦异常立即报警，护士通过智能手表即可接收呼叫 ...

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.

合作伙伴征集：2025全球手术机器人大会 报名：首届全球眼科大会 | 暂定议程 报名：首届全球心血管大会 | 奖项报名倒计时 报名：首届全球骨科大会 | 奖项报名倒计时 2025年3月14日，超声AI领域领先企业 北京视知觉智能科技有限公司 （以下简称"视知觉"）宣布完成新一轮 融资。本次融资由泓创资本领投，强云资本继续担任独家财务顾问。 # 关于视知觉 北京视知觉智能科技有限公司成立于2023年5月31日，是一家 专注于超声人工智能（AI）技术研发与应用 的 高新技术企业。公司总部位于北京市海淀区。 适用于组织再生修复的医用高质耗材，可用于骨性关节炎、肌腱病、组织局部损伤修复以及创面修复 等。 视知觉以"医智融合"为核心理念，致力于通过人工智能技术推动超声在临床科室的普及。公司结合中国科学 院自动化研究所的技术支持以及中国研究型医院学会肌骨及浅表超声专委会等权威医学专家资源，开发了覆盖 全流程的超声影像智能解决方案。 其产品主要面向疼痛科、康复科、麻醉科、中医科等临床科室，旨在提高 超声诊断的准确性和效率。 核心产品与技术 肌骨超声实时动态AI辅助诊疗系统（智影） 业内首款集教学、诊断、治疗于一体的肌骨超声 ...