Expert consensus on artificial intelligence care in China

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.

Key Words: artificial intelligence; machine learning; natural language processing; healthy; care; ethics