Application of artificial intelligence in anxiety and depression among children and adolescents:a scoping review
SU Rufeng
ZHONG Xiaoke
GAO Xiaoyan
JIANG Changhao
Abstract：Objective To review the application of artificial intelligence in anxiety and depression among children and adolescents.
Methods PubMed,Web of Science,CNKI and Wanfang data were searched for literature related to artificial intelligence applied in of anxiety and depression among children and adolescents from January,2014 to January,2024,and a scoping review was conducted.
Results A total of ten papers were included,originating from the United States,China,Australia and France.These re-searches were primarily published in journals related to psychology,public health,clinical medicine,neurosci-ence and rehabilitation,involving six cross-sectional researches,three longitudinal researches and one interview,including 10 880 participants aged from three to 18 years.The types of data mainly included questionnaires/scales,interview data and brain imaging data.Features related to anxiety and depression were extracted from the data,and artificial intelligence were employed to develop models for the identification or prediction of anxiety and depression in children and adolescents.
Conclusion Artificial intelligence is potential for identifying or predicting anxiety and depression in children and adoles-cents.
Keywords：childrenadolescentsartificial intelligenceanxietydepressionscoping review
Publication Date：2024-05-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 513-519 )