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《预防医学论坛》第三届编委会换届会议在济南成功召开
Qi Lu Wan Bao· 2025-12-31 13:08
12月21日,《预防医学论坛》杂志第三届编委会换届会议在济南召开。中华预防医学会副会长、杂志主编梁晓峰主持会议并讲话。近100位来自全国预防 医学领域的专家学者集聚一堂,共商期刊发展大计,擘画未来学术蓝图。山东省疾病预防控制中心负责同志参加会议。 △刘起勇副主编(中国疾病预防控制中心病媒生物首席专家)发言 △梁晓峰主编主持会议和研讨 △王友信副主编(华北理工大学公共卫生学院院长)发言 △董海原副主编(山西省疾病预防控制中心首席专家)发言 △张涛副主编(天津医科大学公共卫生学院院长)发言 △王世文副主编(中国疾病预防控制中心病毒病所副所长)发言 《预防医学论坛》杂志是由国家疾病预防控制局主管,中华预防医学会、山东省疾病预防控制中心主办的学术期刊,面向国内外公开发行。本届编委会由 141人组成,其中编委101人,青年编委40人。新一届编委会阵容强劲、结构多元,涵盖20个省(自治区、直辖市)的50余个机构,学科覆盖流行病学、卫生 统计学、慢性病防控、传染病学、卫生检验学等多个核心领域,汇聚了吴阶平-保罗杨森医学药学奖获得者、享受国务院政府特殊津贴专家等行业领军人 物,并吸纳了大批青年学术骨干。 今年是杂志创刊30周 ...
AI+医疗新政落地,美年健康精准布局迎风口,转型数智化健康服务
Core Viewpoint - The recently issued "Implementation Opinions on Promoting and Regulating the Application Development of 'Artificial Intelligence + Healthcare'" outlines a clear path for the digital transformation of the healthcare sector, with specific development goals set for 2027 and 2030 [1][2] Group 1: Policy Goals - The policy sets two core development goals: by 2027, establish high-quality healthcare data sets and clinical AI applications, and by 2030, ensure widespread AI-assisted diagnosis in secondary hospitals and significant improvement in AI application capabilities in primary healthcare institutions [1][2] - The document emphasizes addressing pain points in preventive medicine, including extending intelligent diagnostic assistance from single diseases to multiple diseases affecting single organs [2] Group 2: Company Strategy - The company, Meinian Health, is implementing an "All in AI" strategy, focusing on three dimensions: scene implementation, data openness, and ecosystem construction [4] - Meinian Health has transformed nearly 600 health check centers into AI application and testing grounds, enhancing risk screening capabilities and improving service quality through AI technologies [4][5] Group 3: Performance and Growth - Meinian Health reported AI-related business revenue of approximately 250 million yuan, a year-on-year increase of 71.02%, highlighting AI as a core driver of profit growth [6][7] - The company’s net profit for the first three quarters of 2025 is projected to be between 42 million and 62 million yuan, representing a significant increase of 70.51% to 151.70% compared to the previous year [6][7] Group 4: Future Outlook - The company aims to deepen its "AI + Big Data" dual-driven approach, planning to achieve nationwide coverage of ultrasound robots in health check centers within three years and develop customized AI management solutions for chronic diseases [8] - Meinian Health is positioned to contribute to the "Healthy China" initiative, with its practices serving as a replicable model for the digital transformation of the healthcare industry [8]
2025新质生产力AI+医疗创新应用大赛在沪举办 美年健康发布五大AI创新需求
Core Insights - The event "2025 New Quality Productivity AI + Medical Innovation Application Competition and Preventive Medicine Innovation Forum" was held in Shanghai to explore AI applications in preventive medicine and health management [1] - The competition attracted over 300 projects from universities, research institutions, and tech companies, focusing on six key technology areas [1] - The event highlights the role of Meinian Health Group in selecting advanced technologies and fostering innovation in the healthcare sector [1][2] Company Strategy - Meinian Health Group's Chairman, Yu Rong, emphasized the need for AI to address challenges in China's healthcare system, including chronic diseases and uneven distribution of medical resources [2] - The company has a vast offline service network and a health data platform serving nearly 300 million people, which supports innovation and collaboration in the industry [2] Technological Advancements - Meinian is advancing its strategy in smart hardware, particularly in ultrasound robots and AI health management systems, to enhance healthcare delivery [3] - The company plans to introduce consumer-level health companion robots to integrate professional health management into daily life [3] Open Collaboration - Meinian Health will open three core elements to competition participants: real operational scenarios, vast data resources, and a professional industry ecosystem [4] - The company aims to be a partner for innovators, providing support from clinical validation to commercial implementation [4] AI Innovation Demands - Meinian Health's President, Xu Tao, announced five key AI innovation demands to drive technology integration and industry collaboration [5] - The demands include the development of health models, innovative products in key medical disciplines, real-world data platforms, efficiency optimization through AI, and smart hardware [5][6] Ecosystem Development - The competition received support from various authoritative institutions and aimed to build a multi-layered evaluation and connection platform for AI medical innovation [7] - Experts shared insights on AI applications in disease prevention and health management, enhancing the event's professional significance [8] Competition Outcomes - The competition concluded with 17 award-winning companies across different categories, showcasing the potential of innovative solutions in the healthcare sector [9] Future Directions - Meinian Health Group aims to solidify the AI health management ecosystem through a structured approach that matches quality projects with industry needs [10] - The event serves as a demonstration of the company's commitment to the future of AI in healthcare and its role in driving intelligent transformation in the industry [10]