Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Oct 19, 2022; 12(10): 1287-1297
Published online Oct 19, 2022. doi: 10.5498/wjp.v12.i10.1287
Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges
Xiao-Jie Cao, Xin-Qiao Liu
Xiao-Jie Cao, Graduate School of Education, Peking University, Beijing 100871, China
Xin-Qiao Liu, School of Education, Tianjin University, Tianjin 300350, China
Author contributions: Liu XQ designed the study; Cao XJ and Liu XQ wrote the manuscript and managed the literature analyses; all authors approved the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
Corresponding author: Xin-Qiao Liu, PhD, Associate Professor, School of Education, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China.
Received: July 11, 2022
Peer-review started: July 11, 2022
First decision: August 1, 2022
Revised: August 9, 2022
Accepted: September 22, 2022
Article in press: September 22, 2022
Published online: October 19, 2022
Core Tip

Core Tip: Artificial intelligence-assisted psychosis risk screening must be emphasized and applied in adolescents. This review summarizes the application of two artificial intelligence-assisted screening methods (chatbot and large-scale social media data analysis), and proposes that the first challenge in applying artificial intelligence to psychosis risk screening concerns ethical issues. The methods must follow four biomedical ethics principles, i.e., respect for autonomy, nonmaleficence, beneficence, and justice. Three directions should be considered in the future: 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.