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Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges
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 appli...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641379/ https://www.ncbi.nlm.nih.gov/pubmed/36389087 http://dx.doi.org/10.5498/wjp.v12.i10.1287 |
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author | Cao, Xiao-Jie Liu, Xin-Qiao |
author_facet | Cao, Xiao-Jie Liu, Xin-Qiao |
author_sort | Cao, Xiao-Jie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9641379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-96413792022-11-15 Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges Cao, Xiao-Jie Liu, Xin-Qiao World J Psychiatry Minireviews 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. Baishideng Publishing Group Inc 2022-10-19 /pmc/articles/PMC9641379/ /pubmed/36389087 http://dx.doi.org/10.5498/wjp.v12.i10.1287 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/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. |
spellingShingle | Minireviews Cao, Xiao-Jie Liu, Xin-Qiao Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges |
title | Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges |
title_full | Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges |
title_fullStr | Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges |
title_full_unstemmed | Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges |
title_short | Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges |
title_sort | artificial intelligence-assisted psychosis risk screening in adolescents: practices and challenges |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641379/ https://www.ncbi.nlm.nih.gov/pubmed/36389087 http://dx.doi.org/10.5498/wjp.v12.i10.1287 |
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