目的 系统综述人工智能在儿童青少年焦虑和抑郁中的应用.方法 检索2014年1月至2024年1月PubMed、Web of Science、中国知网和万方数据库中人工智能与儿童青少年焦虑和抑郁相关文献,进行Scoping综述.结果 最终纳入10篇文献,来自美国、中国、澳大利亚和法国,主要来源于心理学、公共卫生、临床医学、神经科学、康复等领域的期刊,涉及6项横断面研究、3项纵向研究和1项访谈研究,包括10 880例参与者,年龄3～18岁.数据类型主要包括问卷/量表、访谈数据和脑成像数据.从数据中提取与焦虑、抑郁相关的特征,使用人工智能技术建立模型,以识别或预测儿童青少年焦虑和抑郁.结论 人工智能在识别或预测儿童和青少年焦虑和抑郁方面具有潜在的价值和应用前景.
Application of artificial intelligence in anxiety and depression among children and adolescents:a scoping review
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.
国家科技期刊平台
NSTL
万方数据
