钟南山：发展医学人工智能是必答题

Core Viewpoint - The development of medical AI is essential and cannot be achieved by a single institution alone; collaboration among various organizations is necessary for innovation and practical application [1]. Group 1: Medical AI Development - Medical AI is identified as a highly promising area for application due to the vast amount of data, diverse scenarios, and urgent public needs in the healthcare sector [1]. - The integration of AI can significantly enhance the capabilities of primary care physicians, allowing them to quickly improve their skills without extensive training [1]. - Despite advancements in AI, it cannot replace the human aspects of medicine, such as understanding patients' emotional and psychological needs [1]. Group 2: Systemic Innovation and Collaboration - The uneven distribution of medical resources and weak primary care capabilities in China necessitate innovative solutions through new information technologies [1]. - The development of medical AI requires a systemic approach that combines technological innovation, institutional reform, and ecological collaboration [1]. - The establishment of an "AI + Healthcare" innovation circle in the Guangdong-Hong Kong-Macao Greater Bay Area is proposed to optimize data management and support AI applications in healthcare [1]. Group 3: Data Management and Ecosystem - The launch of the credible data space by KingMed Medical aims to facilitate safe data circulation within a compliant framework, enhancing the value of AI in clinical settings [2]. - The goal is to create a smart healthcare ecosystem that ensures innovative solutions reach grassroots levels and benefit the public [2].