To explore the research status quo,hotspots,and development trends of artificial intelligence in global chronic disease prevention and control.

Relevant studies on artificial intelligence empowering chronic disease prevention and control were retrieved from the Science Citation Index Expanded of Web of Science.The literature was analyzed using R-bibliometrix and VOSviewer.

A total of 624 articles related to artificial intelligence empowering chronic disease prevention and control published between 2016 and 2025 were retrieved.High-frequency technology keywords included "machine learning" "deep learning" "Internet of things" and so on.High-frequency chronic disease keywords included "diabetes" "COVID-19" "cardiovascular diseases" and so on.Emerging technology keywords were "large language models" "long short-term memory networks" and so on.Emerging disease keywords were "asthma" and so on.

Artificial intelligence algorithms and the Internet of things constitute the core supporting technologies in the field of artificial intelligence empowering chronic disease prevention and control.Diabetes,COVID-19,and cardiovascular diseases are the focal diseases.Large language models and long short-term memory networks represent emerging technological directions.Asthma is an emerging hotspot disease.Artificial intelligence has played an important role in the field of chronic disease prevention and control.