Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges

被引:33
作者
Cao, Xiao-Jie [1 ]
Liu, Xin-Qiao [2 ,3 ]
机构
[1] Peking Univ, Grad Sch Educ, Beijing 100871, Peoples R China
[2] Tianjin Univ, Sch Educ, Tianjin 300350, Peoples R China
[3] Tianjin Univ, Sch Educ, 135 Yaguan Rd, Tianjin 300350, Peoples R China
来源
WORLD JOURNAL OF PSYCHIATRY | 2022年 / 12卷 / 10期
关键词
Psychosis risk; Adolescents; Artificial intelligence; Big data; Social media; Medical ethics; Chatbot; Machine learning; SCHIZOPHRENIA; PREDICTION; CHILDREN; ADULTS; ELIZA; AGE;
D O I
10.5498/wjp.v12.i10.1287
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Artificial intelligence-based technologies are gradually being applied to psych-iatric research and practice. This paper reviews the primary literature concerning artificial intelligence-assisted psychosis risk screening in adolescents. In terms of the practice of psychosis risk screening, the application of two artificial intelligence-assisted screening methods, chatbot and large-scale social media data analysis, is summarized in detail. Regarding the challenges of psychiatric risk screening, ethical issues constitute the first challenge of psychiatric risk screening through artificial intelligence, which must comply with the four biomedical ethical principles of respect for autonomy, nonmaleficence, beneficence and impartiality such that the development of artificial intelligence can meet the moral and ethical requirements of human beings. By reviewing the pertinent literature concerning current artificial intelligence-assisted adolescent psychosis risk screens, we propose that assuming they meet ethical requirements, there are three directions worth considering in the future development of artificial intelligence-assisted psychosis risk screening in adolescents as follows: nonperceptual real-time artificial intelligence-assisted screening, further reducing the cost of artificial intelligence-assisted screening, and improving the ease of use of artificial intelligence-assisted screening techniques and tools.
引用
收藏
页码:1287 / 1297
页数:11
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