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].