Group 1 - The 2025 China International Service Trade Fair will be held from September 10 to 14, focusing on health and wellness services with the theme "Smart Leading Future, Healthy Life" [1] - The health and wellness service section will feature two main display experience areas: "Smart Therapy Cloud Matrix" and "National Health Service Matrix" [1] - Major global companies such as Elsevier and GE Healthcare will participate, with a participation rate of 54% from Fortune 500 companies and 53% internationalization rate [1] Group 2 - The Health Priority Zone will showcase innovative projects from local medical institutions, focusing on the integration of medical and elderly care services [2] - A record 48 traditional Chinese medicine institutions will participate, with 27 offline, highlighting the modernization and international potential of traditional Chinese medicine [2] - The Capital International Medical Conference will take place during the trade fair, discussing technology innovation and the development of the medical and health industry [3]

8月13日，2025年中国国际服务贸易交易会（以下简称"服贸会"）健康卫生服务专题媒体通气会在国家 会议中心举办。北京商报记者从现场了解到，本次服贸会将于9月10日—14日在京举办，健康卫生服务 专题以"智领未来，健康生活"为年度主题，设置"智疗云枢前瞻矩阵""全民健康服务矩阵"两大展示体验 区，同期举办包括首都国际医学大会在内的近20场会议论坛及配套活动。一些具有先进技术和市场影响 力的产品将通过服贸会平台进行全球首发、中国首展，全面展示人工智能与医疗健康融合的创新成果。 场景化呈现生物医药AI研发全流程 北京市卫生健康委员会一级巡视员郑晋普在会上介绍，健康卫生服务专题展设置了"智疗云枢前瞻矩 阵""全民健康服务矩阵"两大展示体验区。目前，招商招展工作已经全部完成，邀请世界500强及行业龙 头企业参展率达到了54%，国际化率达53%。一些具有先进技术和市场影响力的产品将通过服贸会平台 进行全球首发、中国首展。此外，专题展区还将举办系列签约洽谈、成果发布活动。 两大展示体验区之外，本届健康卫生服务专题还将同期在首钢园举办"首都国际医学大会"等近20场各类 会议、论坛和配套活动。 据中国医院协会常务副会长毛群安 ...

Core Insights - The introduction of the "Qizhi" AI model by Guang'anmen Hospital represents a significant upgrade in the application of AI within traditional Chinese medicine (TCM), aiming to enhance diagnostic efficiency and patient care [1][2] - The model integrates various medical scenarios and TCM-specific data, allowing for multi-modal analysis and improving the overall diagnostic capabilities of TCM practitioners [1][2] - The AI model is expected to standardize and elevate the diagnostic skills of TCM practitioners across hospitals, potentially leading to a transformative impact on the industry [2][9] Group 1: AI Integration in TCM - Guang'anmen Hospital's "Qizhi" model is the first localized deployment of an integrated AI service in TCM, covering outpatient, inpatient, and surgical scenarios [1] - The model utilizes patient data from over 10,000 daily consultations to continuously learn and improve its diagnostic capabilities [1][11] - The AI aims to assist rather than replace TCM practitioners, allowing them to focus on service quality and patient experience [1][2] Group 2: Industry Trends and Challenges - The TCM industry is experiencing a surge in AI model development, with over 10 publicly released models and at least 50 in development by various institutions [2][5] - The need for modernization, internationalization, and standardization in TCM is critical for its survival and growth, with AI models seen as a key driver for this transformation [6][10] - Recent changes in healthcare payment policies are pressuring TCM practitioners to enhance their service capabilities, further driving the adoption of AI technologies [4][10] Group 3: Market Potential - The TCM health industry in China reached a scale of 1.28 trillion yuan in 2022, with projections to exceed 1.8 trillion yuan by 2025, indicating a substantial market opportunity for AI applications [14] - The demand for TCM services has been growing rapidly, with a reported increase of over 25% in TCM outpatient services in 2023 [13] - The integration of AI in TCM is expected to create a market space worth billions, highlighting the financial potential of AI-driven solutions in the healthcare sector [14] Group 4: Data and Research - Guang'anmen Hospital has accumulated a vast amount of clinical data, including 4.07 million case records and 14 million clinical knowledge entries, making it one of the most data-rich TCM institutions in China [11][12] - The challenge of standardizing TCM practices remains, as the field is characterized by subjective interpretations and a lack of unified treatment protocols [10][24] - The development of AI models in TCM is hindered by the need for high-quality, structured data, which is currently lacking in the industry [10][20]