随着人口老龄化加速与医疗资源日益紧张，人工智能（AI）技术在医疗照护领域显现出巨大潜力。融合机器学习、自然语言处理、计算机视觉等先进技术，AI在疾病监测、康复辅助、老年照护及心理健康等多个方面开创了创新解决方案。AI照护的精髓在于应用现代信息技术和AI算法，为疾病预防、监测、康复和日常健康管理提供智能支持。其目标是通过减少人力成本、提高医疗资源利用效率，实现患者全天候监测与个性化管理。在此过程中，安全、人性化、隐私保护、公平与可及性，以及透明与可解释性，构成了AI照护的五大基本原则，引领技术向正确方向发展。实际应用中，AI通过可穿戴设备实时监控生理指标，预警健康风险；智能机器人与VR技术为康复患者提供定制化指导；AI聊天机器人则成为心理慰藉的新途径。同时，AI还在优化护理流程、提升行政效率方面发挥重要作用。然而，AI照护的推进也会遇到技术障碍、社会接受度及政策法规等多重挑战，亟需技术创新、伦理指导、政策调整及多方协作的共同助力。在推广应用时，必须建立明确的数据采集与分析标准、人工复核机制、设备安全保障及AI身份清晰标识等规范基础上。在伦理与法律层面，AI照护需划清技术责任与医疗责任界限，确保知情同意的透明度，并为弱势群体提供特殊保护。此外，数据质量、持续学习及多学科合作也是推动AI照护技术进步的关键因素。面对技术局限、社会接受度不足及政策法规滞后等难题，未来AI照护的发展应聚焦于技术创新、伦理教育、政策完善及国际合作等方向。

With the acceleration of population aging and the increasing shortage of medical resources, artificial intelligence (AI) technology has shown great potential in the field of medical care. Integrating advanced technologies such as machine learning, natural language processing, and computer vision, AI has created innovative solutions in disease monitoring, rehabilitation assistance, elderly care, and mental health. The essence of AI care lies in the application of modern information technology and AI algorithms to provide intelligent support for disease prevention, monitoring, rehabilitation and daily health management. Its goal is to achieve roundthe clock monitoring and personalized management of patients by reducing labor costs and improving the efficiency of medical resource utilization. In this process, security, humanization, privacy protection, fairness and accessibility, as well as transparency and explainability, constitute the five basic principles of AI care, leading the development of technology in the right direction. In practical applications, AI monitors physiological indicators in real time through wearable devices to warn of health risks. Intelligent robots and VR technology provide customized guidance for rehabilitation patients; AI chatbots have become a new way of psychological comfort. At the same time, AI also plays an important role in optimizing care processes and improving administrative efficiency. However, the promotion of AI care will encounter multiple challenges such as technical obstacles, social acceptance, and policies and regulations, and it urgently needs the joint help of technological innovation, ethical guidance, policy adjustment, and multi-party collaboration. When promoting the application, it is necessary to establish clear data collection and analysis standards, manual review mechanisms, equipment security guarantees, and clear identification of AI identities. At the ethical and legal level, AI care needs to draw a clear line between technical and medical responsibility, ensure transparency of informed consent, and provide special protections for vulnerable groups. In addition, data quality, continuous learning, and multidisciplinary collaboration are also key factors driving the advancement of AI care technology. In the face of technical limitations, insufficient social acceptance, and lagging policies and regulations, the future development of AI care should focus on technological innovation, ethics education, policy improvement, and international cooperation.