Analysis of hot spots and trends of artificial intelligence research in domestic medical and health fields
Objective To discuss the research hotspot and development trend of artificial intelligence in domestic medical and health field.Methods The CNKI,Wanfang Data,and VIP were selected as search databases,and abstracted articles of artificial intelligence in medical and health journals from January 2014 to December 2023 were taken as research data.The latent dirichlet allocation topic model was applied to conduct topic mining and evolution analysis,and the hot research topics were researched and evaluated.Results A total of 3 275 literatures were included,and the number of artificial intelligence related research papers in the medical and health field began to increase significantly in 2018.Eight research topics were extracted,four of which were classified as hot topics,namely medical image processing,intelligent medical service platform,medical image algorithm,and clinical decision aid system.Conclusion This study provides relevant ideas and methods for the integration and innovation development in this field.The technical issues behind the actual needs of the field in the future should be continuously paid attention to,and the research and innovation of basic key technologies should be strengthened.
Artificial intelligenceMedical and health careLatent dirichlet allocation modelTheme evolutionDevelop-ment trend