International Partnerships in AI-Driven Healthcare: Opportunities and Challenges for Advancing the UN Sustainable Development Goals—A Perspective
Tao Yun, Le Zhang
Abstract
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.