医疗大模型

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云知声(09678)成功中标北京友谊医院AI能力平台等多个智能体(Agent)项目
智通财经网· 2025-10-09 11:58
这一项目是本公司顺应国家人工智能赋能医疗政策导向的关键举措,推动智慧医疗从单一场景智能化向 诊疗全流程数智化解决方案升级。本公司凭藉山海大模型在MedBench等权威评测中领先的医疗专业能 力,以及覆盖全国超30%百强三甲医院的解决方案经验,进一步巩固了其在医疗智能化竞争中的领先地 位。 智通财经APP讯,云知声(09678)发布公告,本公司成功中标首都医科大学北京友谊医院(北京友谊医 院)AI能力平台等多个智能体(Agent)项目,实现与北京友谊医院在目前合作基础上服务关系的进一步深 化,也标志着本公司在智慧医疗领域的技术落地和商业应用取得重要进展。该项目依託本公司自主研发 的医疗大模型、多模态数据识别与治理、文本推理等核心技术,构建了医院可自主运营的智能服务中 台,并融合医院知识库形成医疗垂类大模型,突破了传统医疗信息化建设模式。基于该平台,本公司实 现了对多模型的统一管理及与业务系统的智能衔接,在创口图像识别、感染风险评估、病历智能生成、 随访管理等场景中显著提升了医院的数据价值挖掘与诊疗效率。例如,在北京友谊医院的实践中,门诊 病历生成系统使病历录入效率提升80%,问诊时间节省15%,患者满意度大幅提 ...
云知声成功中标北京友谊医院AI能力平台等多个智能体(Agent)项目
Zhi Tong Cai Jing· 2025-10-09 11:58
Core Insights - The company, Yunzhisheng (09678), has successfully won a bid for multiple AI capability platform projects with Beijing Friendship Hospital, marking a significant advancement in its smart healthcare technology and commercial application [1] Group 1: Project Details - The project utilizes the company's self-developed medical large model, multimodal data recognition and governance, and text reasoning technologies to create an intelligent service platform that hospitals can operate independently [1] - The platform integrates the hospital's knowledge base to form a specialized medical large model, breaking through traditional medical information construction models [1] Group 2: Operational Efficiency - The company has achieved unified management of multiple models and intelligent integration with business systems, significantly enhancing data value extraction and diagnostic efficiency in various scenarios such as wound image recognition, infection risk assessment, intelligent medical record generation, and follow-up management [1] - For instance, the outpatient medical record generation system at Beijing Friendship Hospital improved record entry efficiency by 80% and reduced consultation time by 15%, leading to a substantial increase in patient satisfaction [1] Group 3: Strategic Alignment - This project aligns with national policies promoting AI empowerment in healthcare, facilitating the transition from single-scenario intelligence to comprehensive digital solutions across the entire diagnostic and treatment process [1] - The company consolidates its leading position in healthcare intelligence competition, leveraging its advanced medical capabilities demonstrated in authoritative evaluations like MedBench and its experience covering over 30% of top-tier hospitals nationwide [1]
云知声(09678) - 自愿性公告 - 最新业务进展
2025-10-09 11:49
香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責,對其準確性或完整性亦不發表 任何聲明,並明確表示概不就因本公告全部或任何部分內容而產生或因倚賴該等內容而引致的任何損失承擔任何 責任。 最新業務進展 本公告乃由雲知聲智能科技股份有限公司(「本公司」)自願作出,旨在知會本公司股東 及潛在投資者有關本公司的最新業務發展情況。 UNISOUND AI TECHNOLOGY CO., LTD. 雲知聲智能科技股份有限公司 (於中華人民共和國註冊成立的股份有限公司) (股份代號:9678) 自願性公告 於本公告日期,本公司董事會包括:(i)執行董事梁家恩博士、黃偉博士、康恒博士、李霄寒先生、劉升平先生及 李鵬先生;(ii)非執行董事鄺子平先生、李志超先生、汪存富先生及李昂先生;及(iii)獨立非執行董事胡建軍先生、 樊健先生、金慧華女士、張坤博士及陳華先生。 本公司董事會(「董事會」)欣然宣佈,本公司成功中標首都醫科大學北京友誼醫院(「北 京友誼醫院」)AI能力平台等多個智能體(Agent)項目,實現與北京友誼醫院在目前合作 基礎上服務關係的進一步深化,也標誌著本公司在智慧醫療領域的技術落地和商業 ...
前景研判!2025年中国医疗大模型行业市场发展概况分析及投资前景预测(智研咨询)
Sou Hu Cai Jing· 2025-09-28 02:21
Core Insights - The application of medical large models spans clinical, management, education, and public health, promising innovation and advancement in healthcare [2][9] - The market size for China's artificial intelligence large models is projected to reach 431.6 billion yuan by 2025, with the medical large model segment expected to grow to 65.3 billion yuan [2][9] - By 2031, the market size for artificial intelligence large models in China is anticipated to grow to 1487.9 billion yuan, with medical large models reaching 213.4 billion yuan [2][9] Industry Overview - Medical large models are specialized AI models trained for the healthcare sector, primarily based on Transformer architecture, designed to understand and generate medical language and knowledge [3] - These models show significant potential in various medical scenarios, including disease diagnosis, medical imaging, electronic health record analysis, and drug development, enhancing diagnostic accuracy and efficiency [3] Market Size and Growth - The market size for medical large models in China is estimated at 41.8 billion yuan in 2024, with a forecasted increase to 65.3 billion yuan in 2025 and 213.4 billion yuan by 2031 [9][11] - The overall market for artificial intelligence large models in China is projected to grow from 268.9 billion yuan in 2024 to 431.6 billion yuan in 2025, and reach 1487.9 billion yuan by 2031 [7][9] Model Type Distribution - The distribution of medical large models includes 114 general medical models (40.57%), 106 specialized medical models (37.72%), and 33 traditional Chinese medicine models (11.74%) [11] Competitive Landscape - Key listed companies in the medical large model sector include Alibaba-W, iFlytek Medical Technology, Yidu Tech, Weining Health, and Zhiyun Health [2] - Relevant institutions and companies involved in the sector include Ruijin Hospital, West China Hospital, Fudan University Zhongshan Hospital, Zhejiang University, Shanghai Jiao Tong University, Baidu, Huawei, and Deepwise Medical [2]
AI医生“转正”还有多少关要闯
Ke Ji Ri Bao· 2025-09-24 23:54
AI出现在诊室,像医生一样问病史、做诊断、开检查单。这个曾出现在科幻电影中的场景,正逐渐走 进现实。 今年上半年,"天枢""观心""瑞智病理"等医疗领域大规模预训练语言模型(以下简称"医疗大模型")在 全国三甲医院密集落地。亿欧智库数据显示,截至2025年5月,国内累计发布医疗大模型达288个,其中 今年新增133个。 这些被临床寄予厚望的技术产物,离成为真正的AI医生还有多远? 医疗模型价值初显 今年夏天,北京市房山区窦店镇一家基层医院的内科门诊来了一名患儿,半边脸肿大,久不消退。医生 建议家长带孩子去口腔科检查。但检查结果显示,口腔无异常。 焦急的患儿家长再次找到医生。医生想起医院不久前引入的AI儿科医生。这款儿科医疗大模型整合了 300多位知名儿科专家的临床经验及大量脱敏的病历数据,学习了3000多种儿童常见病、疑难病相关诊 疗知识。 医生与这名"博学"的AI儿科医生展开了多轮"对话"。AI提示,患儿可能是腮腺炎。基于AI提醒,诊断最 终被明确,患儿也得到及时治疗。 2024年11月以来,多部门密集出台AI医疗相关政策:《卫生健康行业人工智能应用场景参考指引》梳 理84个细分应用场景;国家医保局将AI辅 ...
港交所稳守全球IPO集资榜首,“A+H”模式正重塑中国资产
Sou Hu Cai Jing· 2025-09-23 08:19
Group 1 - Hong Kong's capital market has emerged as a "dark horse" in the global IPO landscape since 2025, with a fundraising amount of HKD 107.1 billion in the first half of the year, expected to exceed HKD 220 billion for the entire year, reclaiming the top position globally [2][3] - The "A+H" dual listing model has become normalized, with major A-share companies like CATL and Hengrui Medicine listing in Hong Kong, creating an IPO matrix of "large enterprises + hard technology + new consumption" [3] - The introduction of the Chapter 18C and "Special Line for Tech Companies" policies has lowered the entry barriers for unprofitable tech firms to list in Hong Kong, allowing AI companies to successfully go public [3][5] Group 2 - The active IPO market in Hong Kong reflects a global capital reallocation towards Chinese core assets, driven by a reduction in stock stamp duty and an increase in family office assets [4] - Companies in advanced manufacturing, such as Sanhua Intelligent Controls and Lens Technology, have achieved valuation recovery through the Hong Kong market, showcasing its efficiency for "tech + production" firms [5] - The consumer and pharmaceutical sectors have seen significant activity, with brands like Mixue Ice City and Hengrui Medicine attracting substantial institutional support, indicating a rebuilding of market trust in the biotech sector [5] Group 3 - Hong Kong is transitioning from a "follower" to a "rule-maker" in the IPO space, implementing differentiated strategies to build a competitive edge against Nasdaq and NYSE [6] - The deepening of mutual connectivity, such as the Bond Connect, has solidified Hong Kong's position as a key investment channel, with a notable increase in foreign holdings of Chinese bonds [6] - The IPO market in Hong Kong is forming a positive cycle of "institutional innovation - capital inflow - industrial upgrading," with expectations of significant new listings and capital influx [6]
趋势研判!2025年中国医疗大模型行业发展历程、产业链、发展现状、竞争格局及未来展望:行业正逐步展现出潜力和价值,应用前景广阔[图]
Chan Ye Xin Xi Wang· 2025-09-18 01:39
Core Insights - The application of medical large models encompasses various aspects such as clinical, management, education, and public health, promising to drive innovation and progress in healthcare [1][6] - The market size for China's artificial intelligence large models is projected to reach 431.6 billion yuan by 2025, with the medical large model segment expected to grow to 65.3 billion yuan [1][4][6] - By 2031, the market size for artificial intelligence large models in China is anticipated to grow to 1,487.9 billion yuan, with medical large models reaching 213.4 billion yuan [1][6] Medical Large Model Industry Overview - Medical large models are specialized large AI models trained and optimized for the healthcare sector, primarily based on Transformer architecture [2][3] - These models aim to understand, process, and generate medical language and knowledge to assist healthcare professionals, researchers, and patients [2][3] - The application of AI technology in medical large models has shown significant potential in various medical scenarios, including disease diagnosis, medical imaging processing, electronic health record analysis, and drug development [2][3] Market Size and Growth - In 2024, the market size for medical large models in China is estimated at 41.8 billion yuan, with a forecasted increase to 65.3 billion yuan in 2025 [1][6] - The total number of medical large models in China is projected to reach 281 by July 2025, with a distribution of 114 general models (40.57%), 106 specialized models (37.72%), and 33 traditional Chinese medicine models (11.74%) [1][6][9] Industry Development and History - The development of medical artificial intelligence has evolved through several stages since the mid-20th century, from expert systems to machine learning and deep learning, culminating in the current large model phase [2][9] - The introduction of pre-trained large models has become a core driver for medical AI, enhancing capabilities in cross-modal understanding, unified reasoning, and domain knowledge integration [9] Competitive Landscape - The research on medical artificial intelligence in China began in the 1980s, with significant advancements occurring in various fields, particularly after the emergence of large models in 2018 [9] - The market development entities include enterprises, universities, research institutions, and government bodies, with diverse collaboration models such as medical-enterprise and school-enterprise partnerships [9][10] Future Outlook - The rapid advancement of information technology and the deepening application of AI in healthcare indicate a promising future for medical large models, which are becoming essential tools for modern medical technology development [10][11]
吴婷:AI城市战争
3 6 Ke· 2025-07-12 03:32
Core Insights - The rise of AI, exemplified by DeepSeek, presents a significant opportunity for value reassessment in China and a reshuffling of urban dynamics in the country [1][2] National Strategy - The Chinese government proposed a "three-step" strategy for AI development in 2017, aiming for a core industry scale of 1.5 trillion yuan by 2020, 4 trillion yuan by 2025, and 10 trillion yuan by 2030 [3] - As of September 2024, the core AI industry scale in China has reached nearly 600 billion yuan, surpassing the 2025 target by 150% [3][4] City Comparisons - Beijing is the undisputed leader in AI, holding over 30% of national resources in talent, patents, enterprises, and financing, with a core industry scale of 300 billion yuan, accounting for half of the national total [5][6] - Shanghai has established itself as a hub for integrated circuit industries and AI chip companies, focusing on the "chip" aspect of AI, while also leading in computing power infrastructure [10][12] - Shenzhen ranks third in AI-related enterprises, with a strong manufacturing base and major tech giants like Huawei and Tencent driving innovation and ecosystem development [12][15][16] - Hangzhou is emerging as a disruptor in the AI space, particularly with the launch of DeepSeek-R1, which has significantly impacted the global AI landscape [18][19][21] Emerging Players - The "Six Little Dragons" from Hangzhou, including DeepSeek and Yushu Technology, are gaining attention for their innovative AI solutions and market share [19][20] - Zhejiang University has contributed significantly to AI research, ranking just behind Tsinghua and Peking University in terms of AI publication output [20] Competitive Landscape - Other cities like Guangzhou, Suzhou, Hefei, and Xi'an are also exploring unique pathways to develop their AI industries, highlighting the competitive nature of China's economic landscape [23][24]
迎接AI——理性看待变革,积极布局未来
创业邦· 2025-07-07 10:27
Core Viewpoint - The discussion emphasizes the importance of integrating AI technology with business operations, focusing on long-term strategic value rather than short-term gains [1][19][29]. Group 1: AI Technology Development - AI has reached a critical intersection of technology and product, where understanding its limitations and capabilities is essential for practical applications [5][6]. - The industry consensus is that the core capabilities of models stem from pre-training rather than post-training, highlighting the need for high-quality training data [6][7]. - AI tools are powerful but come with uncertainties, necessitating a careful approach to their integration into business processes [5][6]. Group 2: Practical Applications of AI - APUS has successfully implemented AI in coding, design, and healthcare, significantly improving efficiency and reducing the need for large teams [11][12][14]. - The company has developed proprietary models for coding and healthcare diagnostics, demonstrating the potential of AI to enhance productivity and service delivery [11][14][15]. - AI's role in content creation has transformed traditional processes, allowing for rapid generation of marketing materials and interactive products [12][13][14]. Group 3: Strategic Considerations for AI Implementation - Companies often misjudge the short-term capabilities of AI while underestimating its long-term potential, leading to misguided expectations [20][21]. - A structured approach to defining AI applications is crucial, starting from understanding the business's needs and aligning AI capabilities accordingly [26][27]. - The need for skilled project leaders who understand both AI and business operations is highlighted as a key factor for successful AI integration [22][23]. Group 4: Recommendations for CEOs - CEOs should clearly define the strategic value of AI within their organizations, ensuring that AI initiatives align with long-term business goals [26][27][28]. - Emphasizing the importance of cultural adaptation and understanding AI's operational principles can facilitate smoother integration into daily workflows [26][27]. - Companies must avoid focusing solely on technology and instead prioritize identifying relevant applications and the necessary data governance [27][28].
毕马威报告:医疗大模型中国发布数量占全球70%,健康科技产业需应对四重挑战
Jing Ji Guan Cha Wang· 2025-07-04 01:51
Core Insights - The report by KPMG China highlights the growth and transformation of the health technology industry in China, emphasizing the increasing participation of various stakeholders and the influx of quality resources into the sector [2][3]. Group 1: Industry Overview - The health technology industry is defined by its supply chain, which includes upstream (technology-enabled pharmaceuticals, medical devices, and smart hospital R&D), midstream (technology-enabled manufacturing), and downstream (technology-enabled services and payment methods) [2]. - The report indicates that the medical technology market in China is expected to exceed 100 billion yuan by 2024, with a steady growth trend anticipated despite a predicted slowdown from 2025 to 2027 [3]. - The smart medical device market is projected to reach 24.23 billion yuan by 2025, with continued rapid growth expected through 2027 [3]. Group 2: Market Dynamics - The supply side of the health technology industry is characterized by public hospitals, which, despite being fewer in number, dominate the provision of quality medical services, with 84.7% of tertiary hospitals being public [4]. - The demand side shows an increasing utilization of medical services, with the total number of medical visits in China expected to exceed 10 billion in 2024, and the average number of visits per resident reaching 7.2 times [5]. Group 3: Talent and Investment Landscape - Health technology talent is primarily concentrated in East China, with a noted shortage of high-end professionals in areas such as AI and medical device R&D [7]. - The financing landscape for the health technology industry has seen a shift, with 2021 marking a peak in investment activity, while 2024 is expected to see 1,437 financing events totaling 73.16 billion yuan [5][6]. - The majority of financing events in 2024 are expected to occur in the early stages, with A-round financing accounting for 42.9% of total events [6]. Group 4: Challenges and Competition - The health technology industry faces several challenges, including a shortage of specialized talent, low research investment, and an underdeveloped payment system [7]. - The industry is experiencing intense competition, with a consensus on the need for differentiation due to issues such as weak original innovation capabilities and market saturation [7].