人工智能技术在医学领域的应用广泛而深远，涉及临床试验、医疗实践和医学教育等多个方面。然而，其面临的挑战也不容忽视。数据隐私与安全、监管合规性、技术难题，以及医学教育中的知识传递都是其中的主要问题。解决这些挑战需要跨学科合作和完善法律法规。重视数据隐私保护，采取创新解决方案，如联邦学习和区块链技术。同时，加强伦理审查和临床决策监督，培养医学生对人工智能的理解和信心，将有助于充分发挥人工智能在医学领域的潜力，提升医疗服务质量。
The application of artificial intelligence (AI) technology in the field of medicine is extensive and profound, encompassing various aspects such as clinical trials, medical practice, and medical education. However, the challenges it faces cannot be underestimated. Key issues include data privacy and security, regulatory compliance, technical obstacles, and knowledge dissemination in medical education. Addressing these challenges necessitates interdisciplinary collaboration and the refinement of legal regulations. Emphasizing data privacy protection and adopting innovative solutions such as federated learning and blockchain technology are crucial. Furthermore, strengthening ethical review and oversight of clinical decisions, as well as fostering medical students′ understanding and confidence in AI, contribute to fully exploiting the potential of AI in the medical field and enhancing the quality of healthcare services.
姚晨,王斌,阎小妍. 人工智能在医学中面临的机遇与挑战[J]. 数字医学与健康,2024,02(02)：61-62.
DOI:10.3760/cma.j.cn101909-20240228-00027版权归中华医学会所有。
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