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钟南山:医学AI发展需要产学研医用联动
Core Insights - The first Greater Bay Area Medical Artificial Intelligence Conference highlighted the necessity of integrating AI into healthcare, as emphasized by academic leaders like Zhong Nanshan, who stated that "medical AI is not a choice but a must" [1][3]. Group 1: Industry Challenges and Opportunities - The uneven distribution of medical resources and weak grassroots service capabilities in China necessitate innovative solutions through new-generation information technology [3]. - The integration of "AI + healthcare" requires a collaborative approach involving technological innovation, systemic mechanism innovation, and ecological synergy, making it a complex system engineering task [3]. - The medical AI sector is identified as a highly promising area for application due to its vast data, diverse scenarios, and essential public needs [3]. Group 2: Collaboration and Ecosystem Development - Zhong Nanshan emphasized the importance of collaboration among various institutions to advance medical AI, advocating for the integration of industry, academia, and research to facilitate rapid implementation [3][5]. - The establishment of a credible data space for medical testing and AI exploration was showcased at the conference, aiming to expand the ecological cooperation network and develop new scenarios and data products [5]. - The health data is recognized as a crucial strategic resource for the nation and a foundational element for the development of medical AI, with expectations for high-level medical institutions and tech companies to engage in innovative practices [5].
第三方医检首办AI生态大会 激活智慧医疗新生态
Zheng Quan Ri Bao· 2025-12-09 07:15
中国工程院院士、广州国家实验室主任钟南山,中国医院协会常务副会长毛群安,广东省政务服务和数 据管理局局长王天广,广州市政务服务和数据管理局局长黄津,广州市卫生健康委副主任李铁钢,广州 医科大学副校长付晓东,中国信息产业商会工业互联网分会理事长、广东省数据要素产业协会负责人朱 立锋、金域医学董事长兼首席执行官梁耀铭等出席大会。大会吸引了来自海内外超过400位医疗机构、 IVD企业、药企、大数据及人工智能等领域专家参与,近70名专家学者与企业领军人物登台分享。 王天广表示,健康医疗数据是国家重要基础性战略资源,也是医学人工智能发展的关键基础资源。他发 出三点倡议:一是打造全国领先的高质量数据集,全面赋能诊疗、公卫、新药研发等环节;二是加快建 设医疗数据基础设施,依托可信数据空间链接全流程数据资源,探索医疗健康领域数字经济发展新路 径;三是构建粤港澳大湾区"AI+医疗"创新圈,通过优化数据资产管理、探索数据质量评价标准、推动 数据合规流通,全面支撑人工智能在医疗领域的应用。"我们诚挚期待更多高水平的医疗机构、科研院 所和科技企业,能够参与到大湾区医学人工智能的创新实践中来,与我们携手并进,全力打造全球生物 医药创新 ...