医疗健康AI应用推广服务
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人工智能重构医疗健康全链条
Bei Jing Shang Bao· 2025-09-12 10:32
Core Insights - The "Artificial Intelligence + Healthcare" seminar held during the 2025 China International Service Trade Fair focused on the latest trends in the industry and announced multiple achievements from the National AI Application Pilot Base in the healthcare sector [2] - The State Council's recent document emphasizes the promotion of high-level health assistants accessible to all, aiming to enhance the efficiency and capability of grassroots healthcare services through AI applications [2] Group 1: AI in Healthcare - The pilot base aims to serve medical institutions, research institutes, and technology companies by creating a comprehensive service system that accelerates the incubation of AI achievements in healthcare, making services safer, more efficient, equitable, and accessible [3] - The base will also support pharmaceutical companies and research institutions by establishing a full-process service system for drug development, enhancing the efficiency of drug research and development [3] Group 2: Strategic Advantages - The Deputy Director of Beijing Municipal Health Commission highlighted the potential advantages in high-value scenarios, quality data, and high-level organization in the global AI technology competition [3] - The focus will be on increasing effective supply, addressing high mortality and disease burden diseases, promoting equitable access to quality medical resources, ensuring safety and quality, and controlling costs [3] Group 3: Data and Evaluation - A specialized assessment system has been developed, integrating multimodal data and authoritative medical knowledge, to enhance the clinical relevance and differentiation of AI models [4] - The assessment data set is derived from benchmark textbooks, latest disease guidelines, and real clinical data, allowing for comprehensive evaluation of AI models in various complex tasks [4] Group 4: Future Prospects - The seminar also announced the achievements of the pilot base and high-quality datasets for specialized diseases, promoting the implementation and industrialization of AI in healthcare [5] - The establishment of a secure and efficient medical data circulation scheme supports the safe transfer and value release of high-quality medical datasets [5] - The AI application promotion service aims to unify and integrate AI applications, currently covering over 100 applications across 30 key clinical scenarios, enhancing service delivery to doctors and patients [5]
2025服贸会|人工智能重构医疗健康全链条
Bei Jing Shang Bao· 2025-09-12 10:28
Core Insights - The seminar on "Artificial Intelligence + Healthcare" was successfully held during the 2025 China International Service Trade Fair, focusing on the latest trends in the industry and the achievements of the national AI application pilot base in healthcare [2] - The State Council's recent document emphasizes the promotion of high-level health assistants and the application of AI in various healthcare scenarios to significantly enhance the capabilities and efficiency of grassroots medical services [2] Group 1: AI Application in Healthcare - The pilot base aims to serve medical institutions, research institutes, and technology companies by creating a comprehensive service system that accelerates the incubation of AI results in healthcare [3] - The base will also support pharmaceutical companies and research institutions by establishing a full-process service system for drug development, enhancing the efficiency of drug research and development [3] - The Beijing Health Commission highlighted the potential advantages in high-value scenarios, quality data, and high-level organization to address major health issues and improve resource accessibility [3] Group 2: Data and Evaluation Systems - A specialized evaluation system has been developed, integrating multimodal data and authoritative medical knowledge, to enhance the clinical relevance and differentiation of AI models [4] - The evaluation dataset is derived from benchmark textbooks, latest disease guidelines, and real clinical data, ensuring comprehensive assessment capabilities [4] Group 3: Future Prospects and Innovations - The seminar announced significant achievements of the pilot base, including the establishment of a secure and efficient medical data circulation scheme, supporting high-quality medical data flow and value release [5] - AI application promotion services have been developed, unifying management and operations of over a hundred AI applications across 30 critical clinical scenarios [5] - The acceleration of these innovations is expected to reshape healthcare service models and contribute to the "Healthy China" initiative [6]
产学研用深度融合,中试基地多项成果发布
Bei Jing Shang Bao· 2025-09-12 07:43
Core Insights - The "Artificial Intelligence + Healthcare" seminar successfully took place during the 2025 China International Service Trade Fair, focusing on the integration of AI and healthcare, and announced significant achievements from the National AI Application Pilot Base in Beijing [1] Group 1: AI Applications in Healthcare - Over a hundred AI applications have been developed, covering 30 critical clinical scenarios, enhancing precision diagnosis and accelerating biopharmaceutical manufacturing [2] - The pilot base released four key achievements in precision diagnosis, including a secure medical data space service, a comprehensive medical data annotation service, and a unified AI application promotion service [2][3] Group 2: Collaboration and Partnerships - The seminar facilitated efficient connections between hospitals, research institutions, and pharmaceutical companies, resulting in several cooperation agreements [3] - The pilot base collaborated with three major hospitals to release significant results, including an ultrasound diagnostic model for cardiovascular diseases and an AI system for liver and gallbladder diagnostics [4] Group 3: Advancements in Biopharmaceutical Manufacturing - The pilot base introduced two major achievements aimed at improving pharmaceutical manufacturing efficiency, including a public service platform for drug development and a clinical trial management system [3]
2025年服贸会 | 产学研用深度融合,中试基地多项成果发布
Bei Jing Shang Bao· 2025-09-12 07:40
Core Insights - The "Artificial Intelligence + Healthcare" seminar successfully took place during the 2025 China International Service Trade Fair, focusing on the integration of AI and healthcare, and promoting collaboration among government, industry, academia, and medical sectors [1] - The seminar highlighted significant achievements from the National AI Application Pilot Base in Beijing, covering areas such as precision diagnosis and drug development, contributing to the dual development of healthcare and AI [1][3] Group 1: AI Applications in Healthcare - Over a hundred AI applications have been developed, covering 30 critical clinical scenarios, enhancing precision diagnosis efficiency and accelerating biopharmaceutical manufacturing innovation [3][4] - The AI applications include a comprehensive management platform for medical data annotation, ensuring efficient and authoritative data labeling, and a unified management service for AI applications [4] Group 2: Achievements in Precision Diagnosis - The pilot base released four key achievements in precision diagnosis, including a secure data space service for medical data, a medical data annotation service, and a promotion service for AI applications [4] - Collaborations were established between hospitals and companies, facilitating resource linkage and enhancing the operational efficiency of AI applications in clinical settings [4][6] Group 3: Innovations in Biopharmaceutical Manufacturing - In the biopharmaceutical manufacturing sector, the pilot base introduced two major innovations: an AI drug development public service platform and a Clinical Trial Management System (CTMS) [5] - These innovations aim to improve the efficiency of drug manufacturing and streamline clinical research processes, enhancing overall quality and effectiveness [5] Group 4: Collaborative Efforts and Ecosystem Development - The seminar featured collaborative achievements with major hospitals, focusing on the development of AI models for cardiovascular diagnostics and liver disease management, showcasing the integration of clinical needs with technological advancements [6] - The establishment of an ecosystem involving hospitals, research institutions, and technology companies aims to create a win-win scenario for the AI healthcare industry [7]