摘要
人工智能已尝试应用于临床医学各领域。作为最常见的精神疾病之一,抑郁症近来成为研究热点。本文综述人工智能相关技术在抑郁症中的应用,包括基于人工智能的声学特征、脑电和生理生化信息及脑影像学分析等抑郁症识别和辅助诊断方法,及其在抑郁症预警和干预方面的应用,并讨论其优势、不足与展望。
Artificial intelligence has been tried in various fields of clinical medicine.As one of the most common mental illnesses,depressive disorder has recently become a research hotspot.This article reviewed the application of artificial intelligence-related technologies in depressive disorder,including methods for identifying and assisting diagnosis based on artificial intelligence-related acoustic features,electroencephalography(EEG)and physiological and biochemical information,and brain imaging analysis,as well as its application in early identification and intervention.Finally,the advantages,disadvantages and prospects of application of artificial intelligence in depressive disorder were discussed.
作者
袁钦湄
王星
帅建伟
林海
曹玉萍
YUAN Qin-mei;WANG Xing;SHUAI Jian-wei;LIN Hai;CAO Yu-ping(Cental Health Institute of Second Xiangya Hospital,Central South University,The China National Clinical Research Center for Mental Health Disorders,Changsha 410011,China;Xiamen ZhongliYi Exc-technology Co.,Ltd.,Xiamen 361028,China;Department of Physics,National Institute of Health and Medical Big Data,Xiamen University,Xiamen 361005,China)
出处
《中国临床心理学杂志》
CSSCI
CSCD
北大核心
2020年第1期82-86,共5页
Chinese Journal of Clinical Psychology
基金
湖南省自然科学基金（编号：2018JJ2591）
国家自然科学基金（编号：11874310和11675134）
关键词
人工智能
机器学习
抑郁症
Artificial intelligence
Machine learning
Depressive disorder
