以下文章来源于AGI接口 ，作者陈广晶 AGI接口 . AI卷起的财富风暴。 出品 | 虎嗅科技医疗组 作者 | 陈广晶 编辑 | 苗正卿 头图 | AI生成 经过短暂的焦虑，人工智能很快变成了中国大医院的新兴奋点。 "大家都很焦虑，就怕在技术浪潮面前，像柯达公司或者诺基亚公司似的成为时代的弃儿。" 北京协和医院纪委书记杨敦干在近日由世界互联网大会人工智能专委会主办的"数字转型创新、智 绘健康未来"研讨会上坦言。人工智能在医疗领域的表现，让这家全国顶级医院一度如临大敌。 然而，短短一两个月后，北京协和医院就集中亮出了多款AI+产品，并推向了临床或管理一线。其 中包括：全国首个罕见病大模型"协和·太初"；包含上千个医学量表的"Med Agent"智能库；盆底 手术智能决策辅助系统；针对重症患者病情的预测和辅助诊疗系统；以及用于内部管理的"DRG结 算清单智能生成系统"等等。 除了发布的AI产品数量多，更重要的是，医院的管理、服务、医疗业务整体接入了智慧大脑，在 医疗智能化方面，具有战略意义。 北京协和医院在AI领域忽然发力，还只是全国大三甲抢占新技术高地的缩影，且还称不上激进。 据统计，2024年以来，中国排名 ...

Core Viewpoint - The rapid adoption of artificial intelligence (AI) in China's top hospitals reflects a broader trend in the healthcare industry, driven by the need to enhance efficiency and maintain competitiveness in the face of technological advancements [2][3][4]. Group 1: AI Adoption in Hospitals - Beijing Union Medical College Hospital has launched multiple AI products, including the first rare disease model "Xiehe·Taichu" and various decision support systems for surgeries and critical care [2][3]. - Since the beginning of 2024, at least 60 vertical large models have been released by the top 100 hospitals in China, covering various medical fields and achieving several "national firsts" [3]. - Shanghai Ruijin Hospital has developed over 30 AI applications, completing 1.33 million AI-assisted diagnoses in the past year [3]. Group 2: Competitive Landscape - The competition among major hospitals is intensifying, particularly in specialized fields, as they seek to leverage AI for better patient outcomes and operational efficiency [4][5]. - Hospitals are increasingly forming collaborations with grassroots medical institutions to enhance early screening for diseases like Alzheimer's, indicating a shift towards integrated healthcare models [6][8]. Group 3: Challenges for Regional Hospitals - The rise of AI and advanced technologies is creating pressure on regional hospitals, which are facing consolidation and competition from both grassroots facilities and top-tier hospitals [10][13]. - There have been multiple mergers among regional hospitals in 2023, highlighting the ongoing challenges and the need for these institutions to adapt to the changing healthcare landscape [10]. - The increasing number of tertiary hospitals in China, which has grown by nearly 1.8 times since 2011, is contributing to the survival crisis for many regional hospitals [13][14]. Group 4: Future of Healthcare - The integration of IoT, sensing technologies, and AI is being referred to as the "third medical revolution," which is expected to redefine healthcare delivery and operational standards [11]. - A potential future model of healthcare may involve "distributed examination and centralized diagnosis," which could further impact the roles of various hospitals [13][14].