慢性病主要是由吸烟、酗酒、缺乏活动、饮食不合理、睡眠不充足等不健康的生活方式造成的，因此又称为生活方式疾病。传统的慢性病管理主要是医生在通过电话和随访采集信息的基础上，分析患者的健康状况，并给予患者生活方式和用药方面的指导。而传统慢性病管理方式的实际改善效果并不理想，亟须引用新的管理模式。人工智能融合了计算机科学、统计学、脑神经学和社会科学等前沿科学的成果，具有可代替人进行智能识别、分析和决策等多种功能，可在慢性病管理中广泛应用。目前人工智能已经在医学影像诊断、药物研发、辅助诊疗、医疗机器人、疾病预测、精准医疗、健康管理等方面有了交互应用，特别是在慢性病管理的健康数据采集、健康评估、健康干预及临床等方面有了越来越多的应用，人工智能在慢性病管理中的前景将会越来越广阔。
Chronic diseases are mainly caused by unhealthy lifestyles such as smoking，alcoholism，lack of physical activity，improper diet and insufficient sleep. Therefore，they are also known as lifestyle diseases. Traditional chronic disease management is based on information collected by telephone and follow-up. It also gives patients the guidance of lifestyle and medication. The actual improvement effect of traditional chronic disease management is not ideal，and it is urgent to use the new management mode. Artificial intelligence combines the frontier scientific achievements of computer science，statistics，brain neurology and social science，and has many functions such as intelligent recognition，analysis and decision-making，which can be substituted for human beings. It can be widely used in the management of chronic diseases. Artificial intelligence has been applied in medical imaging diagnosis，drug research and development，auxiliary diagnosis and treatment，medical robotics，disease prediction，precision medical care，health management and so on，especially in the health data acquisition，health assessment，health intervention and clinical practice of chronic disease management. Artificial intelligence will be more and more widely used in medical management，especially chronic disease management.
