Core Viewpoint - The article discusses the strategic advancements and challenges faced by Shanghai United Imaging Healthcare Co., Ltd. (United Imaging) in the field of AI-driven medical technology, emphasizing its recent A-round financing and the broader implications for the medical AI industry [1][3]. Financing Insights - United Imaging successfully completed an A-round financing of 1 billion RMB, marking a significant investment in AI technology despite the current market's conservative sentiment [1][3]. - This financing reflects a long-term strategic commitment from United Imaging and its investors, recognizing AI capabilities as a core competitive advantage [3]. AI Development Strategy - Founded in late 2017, United Imaging has focused on embedding AI into clinical settings, starting with diagnostic tools and expanding to over 100 products across various medical fields [4][7]. - The company has achieved significant regulatory milestones, including 22 NMPA Class II certifications and 12 Class III certifications, along with FDA and CE approvals for several applications [4]. Business Model Challenges - Despite rapid product development, United Imaging reported revenues of 254 million RMB and a loss of 136 million RMB in 2023, highlighting the ongoing struggle to establish a clear commercial model in the medical AI sector [11][12]. - Key challenges include hospitals' reluctance to pay for software, especially in a cost-controlled environment, and the need for comprehensive solutions that address multiple disease types rather than single-function products [12][13]. Technological Innovations - United Imaging is developing a multi-modal AI platform, uAI, which integrates various data types to enhance clinical workflows and improve diagnostic accuracy [14][17]. - The company aims to create a "smart ecosystem" where AI acts as a self-evolving system, enhancing efficiency across all hospital processes [18][20]. Future Outlook - The medical AI industry is shifting from a focus on model parameters to ecosystem strength, with United Imaging positioning itself as a platform company rather than a tool provider [22][23]. - The company faces high costs associated with continuous model iteration and the integration of AI into clinical settings, but its comprehensive approach may provide a sustainable competitive edge in the long term [24][25].

此外，联影还展示了结合AI赋能的超级医疗装备，包括uCT SiriuX双宽体CT、uLinac EternaTx一体化 CT直线加速器等。联影董事长薛敏强调，未来，医疗AI将进一步融合智能设备和临床需求，全面重构 医生与患者、设备之间的协作模式。未来，联影将继续加速推动AI与医疗装备的深度融合，从而重构 医患关系和诊疗模式，为全球医疗健康事业注入新的动力。 大会上，联影重磅发布了"元智"医疗大模型，并展示了涵盖影像诊断、临床治疗、医院管理等多场景的 10余款医疗智能体。其中，其影像大模型支持10多种模态、300种影像处理任务，模型精准度测评超 95%，性能超越此前行业最优模型。 基于"元智"大模型，联影推出覆盖影像诊断、临床治疗等场景的智能体集群。其中，影像诊断智能体 的"影智医声"应用可根据胸部CT平扫影像，辅助诊断出37种胸部常见疾病；uAI MERITS多元手术智能 体整合视频、语音、图像等多模态数据，构建起智慧手术室的"眼、脑、手"协同体系，提升手术精准 度。此外，病历助手、患者服务智能体等已落地中山医院等机构。 本报讯 （记者金婉霞）在人工智能技术（AI）浪潮推动下，全球医疗健康领域正迎来前所未有的 ...