Yun Tao, Zhang Le
International Science and Technology Cooperation Center, Ministry of Science and Technology of the People's Republic of China, Beijing 100862, China.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Healthcare (Basel). 2025 Aug 20;13(16):2053. doi: 10.3390/healthcare13162053.
Artificial Intelligence (AI) is reshaping global healthcare systems by offering innovative solutions to improve diagnostic accuracy, optimize treatment planning, and enhance public health management. This article provides a structured perspective on the role of international partnerships in accelerating the adoption of AI-driven healthcare, with a focus on advancing the United Nations Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being). Drawing on representative global initiatives, the paper explores best practices in technology transfer, ethical data sharing, and capacity building-key enablers for inclusive and equitable AI healthcare adoption. It further analyzes common challenges such as digital infrastructure gaps, regulatory fragmentation, and global inequities in data and talent. Through a synthesis of recent collaborations and policy frameworks, this article offers actionable insights for fostering global alliances that bridge innovation with healthcare accessibility.
人工智能(AI)正在重塑全球医疗保健系统,通过提供创新解决方案来提高诊断准确性、优化治疗方案规划并加强公共卫生管理。本文提供了一个结构化视角,阐述国际伙伴关系在加速采用人工智能驱动的医疗保健方面的作用,重点是推进联合国可持续发展目标(SDGs),特别是目标3(良好健康与福祉)。本文借鉴具有代表性的全球倡议,探讨技术转让、道德数据共享和能力建设方面的最佳实践,这些是包容性和公平采用人工智能医疗保健的关键推动因素。它还进一步分析了常见挑战,如数字基础设施差距、监管碎片化以及数据和人才方面的全球不平等。通过综合近期的合作和政策框架,本文为促进将创新与医疗保健可及性联系起来的全球联盟提供了可操作的见解。