本报讯（记者杨盛）"成绩令人振奋、谋划未来系统科学、工作举措精准有力、民生情怀温暖人 心……"2月3日上午，南宁市代表团继续审议政府工作报告，代表们围绕县域经济、产业发展、人工智 能等领域，谈感受、献良策、谋未来。大家纷纷表示，将进一步提高政治站位，学深悟透会议精神，实 干笃行、勇毅前行，加快建设现代化人民城市，为奋力谱写中国式现代化广西篇章作出更大贡献。 "人工智能"也是热门话题。政府工作报告提出，2026年要聚焦聚力发展壮大智能经济，深化拓展"人工 智能+"，支持以AI为引领的新质生产力发展。代表们结合自身领域，建言献策。 "西乡塘区将聚焦'场景落地、产业融合、生态构建'三大方向，以人工智能应用驱动发展。"自治区人大 代表、西乡塘区区长韦翯钰介绍，场景落地、民生先行，重点在教育、医疗、养老等民生领域率先突 破，通过推广"AI智习室"实现因材施教，部署"数字医生"辅助诊疗，利用智能设备守护居家老人安全， 让人民群众直观感受AI带来的便利。在产业融合、智造升级方面，通过政府开放场景，企业提供技 术，形成商业闭环，推动AI与制造业深度融合。在生态构建、人才支撑方面，将整合辖区高校和科研 院所的科研、人才资源，集 ...

Core Viewpoint - The discussion emphasizes the evolving relationship between humans and artificial intelligence (AI), suggesting that AI should be seen as a collaborator rather than a replacement, enhancing human capabilities and redefining various industries [1][3][6]. Group 1: AI and Human Collaboration - Xu Ke, a prominent figure in the tech industry, predicts that AI, represented by humanoid robots, will surpass human intelligence and capabilities, urging humans to evolve alongside AI [1]. - The conversation highlights that while AI can perform tasks more efficiently, it still requires human direction, positioning AI as a sophisticated tool rather than a direct substitute for human labor [3][4]. - Various sectors, including construction and healthcare, are already integrating AI to enhance safety and efficiency, indicating a trend towards using AI for high-risk or labor-intensive tasks [3][4]. Group 2: Expanding Human Potential - The integration of AI into everyday life is expected to redefine living conditions, making processes faster, cheaper, and more personalized, particularly in construction [5]. - AI is seen as a collaborator that can extend human capabilities across multiple fields, including education, healthcare, and elder care, aiming for a more intelligent and equitable society [5][6]. - The ongoing dialogue emphasizes the need for humans to maintain their unique qualities, such as curiosity and creativity, to thrive in a future where AI plays a significant role [6].

Core Viewpoint - The implementation of artificial intelligence (AI) in healthcare is set to achieve comprehensive coverage of intelligent auxiliary applications in primary care by 2030, enhancing service capabilities and optimizing resource allocation to meet the growing health service demands of the population [2][4]. Group 1: Policy and Implementation - Five departments have released implementation opinions to promote and standardize the application of "AI + healthcare," outlining a timeline for development [2]. - By 2030, it is expected that intelligent auxiliary applications in primary care will be fully covered, and secondary hospitals will widely adopt AI technologies for medical imaging and clinical decision support [2]. Group 2: Focus Areas for AI Integration - The implementation opinions emphasize several key areas, including the promotion of AI in clinical diagnosis, patient services, and public health, with specific measures to enhance these applications [3]. - There is a strong focus on grassroots applications, aiming to strengthen intelligent auxiliary diagnostic applications for primary care physicians and improve chronic disease management services [3]. Group 3: Development and Innovation - The initiative encourages the development of new service models such as intelligent health check-ups and health management, supporting collaboration between medical equipment manufacturers and healthcare institutions for R&D [3]. - The goal is to establish a public support service platform for vertical large models in the healthcare sector, enhancing the overall AI medical service system [4].

Core Viewpoint - The integration of artificial intelligence (AI) in healthcare is being promoted to enhance service capabilities, optimize resource allocation, and meet the growing health service demands of the population [1][2][3] Group 1: AI Applications in Healthcare - AI technologies are being applied in various medical fields, including medical imaging diagnosis, clinical decision support, and chronic disease management [1] - The implementation of AI in healthcare aims to provide personalized health management suggestions and assist primary care physicians with diagnostic and treatment processes [1][2] Group 2: Implementation Guidelines - Five departments have released guidelines to promote and regulate the application of AI in healthcare, with a timeline set for 2030 to achieve comprehensive coverage of intelligent assistance in primary care [1][2] - Specific measures include promoting intelligent diagnostic services, expanding clinical decision support applications, and enhancing chronic disease management services [2] Group 3: Focus Areas - The guidelines emphasize the importance of grassroots applications, clinical diagnosis, patient services, and public health [2] - There is a focus on developing intelligent health management services, including health consultations and personalized health profiles for chronic disease management [2] Group 4: Regulatory and Safety Measures - The approach to AI in healthcare emphasizes empowerment rather than replacement, with a commitment to optimizing industry management and enhancing data security and privacy protection [3] - Plans include establishing clinical specialty data sets and AI corpus, as well as creating a public support service platform for vertical AI models in the healthcare sector [3]

Core Viewpoint - The integration of artificial intelligence (AI) in healthcare is being promoted to enhance service capabilities, optimize resource allocation, and meet the growing health service demands of the population by 2030 [1][2][3] Group 1: AI Applications in Healthcare - AI is being widely applied in various medical fields, including medical imaging diagnosis, clinical decision support, and chronic disease management [1] - The implementation plan emphasizes the need for AI applications to be driven by real business scenarios and to address actual needs, focusing on grassroots applications, clinical diagnosis, patient services, and public health [2] Group 2: Development Goals and Timeline - By 2030, the goal is to achieve full coverage of intelligent assistance applications in grassroots diagnosis and treatment, with secondary hospitals widely adopting AI technologies for medical imaging and clinical decision support [1][2] - A comprehensive standard and regulatory framework for "AI + healthcare" applications is expected to be established, along with the creation of leading technology innovation and talent training bases [1] Group 3: Focus Areas for Implementation - The plan highlights the importance of strengthening intelligent applications in tightly-knit county medical communities and enhancing chronic disease management services [2] - It encourages the development of new service models such as intelligent health check-ups, health consultations, and health management, while supporting collaboration between medical equipment manufacturers and healthcare institutions [2] Group 4: Regulatory and Safety Measures - The initiative aims to ensure that AI empowers rather than replaces healthcare professionals, optimizing industry management and regulatory systems while enhancing data security and personal privacy protection [3] - The establishment of clinical specialty data sets and AI corpus, along with a public support service platform for vertical AI models, is being explored to facilitate the effective implementation of AI in healthcare [3]

Group 1 - The core viewpoint of the news is the launch of action plans in Zhejiang Province aimed at accelerating the development of first stores and promoting artificial intelligence in healthcare, which is expected to benefit the consumption and technology industries [1] Group 2 - The action plan for first store development aims to add over 2,000 urban brand first stores in the province by 2027, including 200 high-energy first stores in the East China region [1] - The plan emphasizes attracting high-quality product first stores, targeting the addition of over 1,000 product brand first stores by 2027 [1] - It also focuses on nurturing innovative service first stores, with a goal of adding over 1,000 service brand first stores by 2027 [1] - The initiative includes the creation of over 20 first store enhancement zones to support county-level development and drive consumption upgrades by 2027 [1] - The plan outlines measures to optimize the business environment, including streamlining approval processes and promoting online and offline service collaboration [1] Group 3 - The action plan for "Artificial Intelligence + Healthcare" aims to establish a national-level application base for AI in the healthcare industry by 2027, fostering clusters and developing a corpus and models [1] - It emphasizes the need to break through core technologies and build key scenarios while nurturing enterprises and talent to create an innovation chain [1] - The plan promotes AI to enhance public health, iterating on digital health personnel and popularizing digital doctors [1] - It also focuses on the development of future hospitals, enhancing diagnostic and treatment capabilities across seven innovative fields [1] - The initiative supports the formation of innovative coalitions to encourage industry integration and collaborative networks around technology research and application [1]

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].