Artificial intelligence in mental healthcare: an overview and future perspectives

被引：3
|
作者：
Jin, Kevin W. [1 ,2 ]
Li, Qiwei [3 ]
Xie, Yang [1 ,4 ,5 ]
Xiao, Guanghua [1 ,4 ,5 ]
机构：
[1] Univ Texas Southwestern Med Ctr, Quantitat Biomed Res Ctr, Peter Odonnell Jr Sch Publ Hlth, Dallas, TX 75390 USA
[2] Yale Univ, Program Computat Biol & Bioinformat, New Haven, CT USA
[3] Univ Texas Dallas, Dept Math Sci, Richardson, TX USA
[4] Univ Texas Southwestern Med Ctr, Dept Bioinformat, Dallas, TX 75390 USA
[5] UT Southwestern Med Ctr Dallas, Simmons Comprehens Canc Ctr, Dallas, TX 75390 USA
来源：
BRITISH JOURNAL OF RADIOLOGY | 2023年 / 96卷 / 1150期
基金：
美国国家卫生研究院;
关键词：
PSYCHIATRY;
D O I：
10.1259/bjr.20230213
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Artificial intelligence is disrupting the field of mental healthcare through applications in computational psychiatry, which leverages quantitative techniques to inform our understanding, detection, and treatment of mental illnesses. This paper provides an overview of artificial intelligence technologies in modern mental healthcare and surveys recent advances made by researchers, focusing on the nascent field of digital psychiatry. We also consider the ethical implications of artificial intelligence playing a greater role in mental healthcare.
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收藏
页数：8
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