以人工智能赋能医学发展——聚焦2025年中国医学发展大会

Core Insights - The integration of artificial intelligence (AI) in the medical field is reshaping the healthcare landscape, driven by advancements such as ChatGPT and AlphaFold [1][2] - The 2025 China Medical Development Conference focused on the theme of "AI Empowering Medical Development," bringing together experts from various disciplines to explore innovative paths for AI and medicine [1][2] Group 1: AI and Medical Integration - AI is recognized as a new productive force that is fundamentally changing the paradigms of medical research and industry ecology [1][2] - The integration of AI in medicine is proposed to be phased: short-term focuses on learning and education, mid-term on deepening applications, and long-term on creating a new ecosystem that encompasses research, clinical practice, and management [2][3] Group 2: Challenges and Solutions - The medical field's data sensitivity and complexity present challenges for AI applications, necessitating a "human-machine alignment principle" to ensure AI becomes a trusted partner for doctors [2][3] - Experts emphasize the need for standardized data and ethical governance as prerequisites for breakthroughs in biomedical AI, particularly in fields like medical imaging and brain-computer interfaces [2][3] Group 3: Practical Applications and Innovations - Various experts propose solutions for AI in medicine, such as using differential equations to analyze tumor microenvironments and sensor technology to capture neural signals [3][4] - The development of AI models inspired by brain science aims to enhance cognitive intelligence while addressing the limitations of current large models [3][4] Group 4: Policy and Education - The need for high-quality medical data sets and AI corpora is highlighted, along with the importance of multi-disciplinary collaboration to drive policy innovation and talent development [4] - The education sector is responding to AI's impact by enhancing AI literacy among students and faculty through various initiatives, including the establishment of university alliances and the introduction of "AI+" courses [4][5]