【浙江发布首店发展及人工智能医疗健康行动计划，利好消费与科技产业】8月13日消息，浙江省商务 厅等7部门联合印发《加快推进首店发展三年行动方案》，加快首店发展。方案力争到2027年，全省新 增城市品牌首店超2000家，其中华东区域以上高能级首店200家；打造首店相关区域50个以上。 方案提 出大力招引商品类优质首店，围绕多领域加大招引，引导门店升级。力争到2027年，新增商品类品牌首 店1000家以上。 方案要求大力引育服务类创新首店，顺应趋势引进培育，支持开设新型业态门店。力 争到2027年，新增服务类品牌首店1000家以上。 方案还提到打造首店提升区，支持县域发展，带动消 费升级。力争到2027年，打造20个以上首店提升区。 在优化营商环境方面，方案提出优化首店政务服 务，简化审批流程，探索便利化通道。推广改革成果，推动线上线下服务协同。 与此同时，浙江省卫 生健康委员会等10部门印发《浙江省加快推动"人工智能+医疗健康"高质量发展行动计划（2025—2027 年）》。以建设国家级基地为引领，推动人工智能赋能卫生健康和生命健康产业。 行动计划提出到 2027年全面建成国工智能医疗行业应用基地，打造集群，培 ...

Core Viewpoint - Beijing aims to accelerate the development of the "Artificial Intelligence + Healthcare" sector, establishing itself as an international innovation hub by 2027 through a comprehensive action plan [3][4]. Group 1: Development Goals - Leverage Beijing's advantages in AI technology, medical resources, and health data to create a dual innovation and application ecosystem in the "Artificial Intelligence + Healthcare" industry by 2027 [4]. - Achieve the transformation of over 30 core technologies and innovative products, with at least 20 innovative drugs and medical devices entering clinical trials [4]. - Promote the application of AI in various healthcare scenarios, including medical services and public health, with a focus on at least 10 specific applications [4]. Group 2: Key Tasks - **Basic Research Breakthroughs**: Explore new paradigms in life sciences driven by AI, focusing on foundational theories and algorithms [6]. - **Data Resource Construction**: Accelerate the establishment of a comprehensive health information platform to integrate various health data sources [8]. - **AI Empowerment in Healthcare**: Support the development of AI applications in drug discovery, personalized medicine, and smart healthcare services [10][11]. Group 3: Innovation Ecosystem - Establish innovation incubators and accelerate platforms to enhance the efficiency of transforming innovative results into practical applications [17]. - Foster collaboration among medical, industrial, academic, and research entities to create competitive industry clusters [5][19]. - Develop a technical standard system to ensure the reliability and compatibility of AI healthcare products [16]. Group 4: Support Measures - Utilize the city's medical health coordination mechanism to ensure effective service and support for key areas [21]. - Encourage investment from various social capital sources to boost innovation in the healthcare sector [21]. - Attract top scientists and teams to enhance talent cultivation in the AI healthcare field [21].