Artificial intelligence (AI) demonstrates significant advantages in accelerating improvements in efficiency, accessibility, and precision of health services, thereby providing critical support for the implementation of a health-prioritized development strategy. Artificial Intelligence Empowering Healthcare Services: Expert Consensus from the Mangrove Health Conference in 2025, compiled through expert consultations and in-depth discussions, systematically elaborated on the conceptual framework, objectives, challenges, and implementation pathways of AI-enabled health services. The consensus emphasizes that the core objective of integrating AI into health services lies in achieving systemic transformation across six dimensions, including service delivery models, management mechanisms, and driving forces. It identifies four major challenges currently confronting implementation: resource constraints arising from inadequate data quality and shortages of skilled professionals; sustainability dilemmas caused by the absence of appropriate payment and reimbursement mechanisms; governance challenges resulting from gaps in legal and ethical frameworks; and limitations in application effectiveness due to underdeveloped evaluation systems.In response to these challenges, the consensus proposes a comprehensive implementation framework, encompassing the establishment of a five-dimensional support system—organization, financing, workforce, technology, and the rule of law—the development of a scientific evaluation system, a focus on strengthening primary-level capacity, and the promotion of international collaboration. This consensus provides both a theoretical foundation and practical guidance for the standardized application and large-scale deployment of AI in the health sector, offering important reference value for advancing the digital transformation of Chinese health service system.

人工智能具有加速提升卫生健康领域服务效率、可及性与精准化等显著优势，为实施健康优先发展战略提供重要支撑。《人工智能赋能卫生健康服务——2025年红树林健康大会专家共识》汇集专家研讨，系统阐述了人工智能赋能卫生健康服务的内涵、目标、挑战与实施路径。共识指出，人工智能与卫生健康服务的核心目标在于实现服务模式、管理手段和动力要素等六个维度的系统性变革，识别了当前面临的四大核心挑战：数据质量与人才储备不足导致的资源约束问题、支付机制缺失引发的可持续性困境、法律伦理缺位带来的治理难题，以及评价体系不完善造成的应用效能瓶颈。针对这些挑战，共识提出了一套完整的实施框架，包括建立五维保障机制（组织、资金、人才、技术、法治）、构建科学评价体系、聚焦基层能力提升和推动国际化发展四条关键路径。本共识为促进人工智能在卫生健康领域的规范化应用和规模化推广提供了理论依据和实践指引，对推动我国健康服务体系数字化转型具有重要参考价值。