ReviewWorld journal of psychiatry2022
Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges.
Review in World journal of psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Artificial Intelligence in Psychiatric Graduate Medical Education.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- Artificial Intelligence in Child and Adolescent Psychiatry: A Narrative Review of Recent Clinical Applications and Ethical Considerations.Current psychiatry reports · 2026Review
- Depression and general self-efficacy among first-generation college students in China: a longitudinal analysis.Scientific reports · 2026Article
- Mediating role of self-efficacy in the association between multidimensional resource support and postdoctoral job satisfaction.Scientific reports · 2026Article
- How Anxiety Shapes Students' Self-Rated Health at Elite Universities: A Longitudinal Study.Behavioral sciences (Basel, Switzerland) · 2026Article
- Directional Relations Between Symptoms of Adolescent Smartphone Addiction, Academic Burnout, and Psychological Distress: A Cross-Lagged Panel Network Analysis.Psychology research and behavior management · 2026Article
- Detecting Artificial Intelligence-Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study.JMIR medical education · 2025Article
- Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review.JMIR mental health · 2025Article
- Large multimodal models assist in psychiatry disorders prevention and diagnosis of students.World journal of psychiatry · 2024Article
- Primary care physicians' perceptions of artificial intelligence systems in the care of adolescents' mental health.BMC primary care · 2024Article
- Adolescent suicide risk factors and the integration of social-emotional skills in school-based prevention programs.World journal of psychiatry · 2024Review
- Potential use of large language models for mitigating students' problematic social media use: ChatGPT as an example.World journal of psychiatry · 2024Article
- Climate change, ambient air pollution, and students' mental health.World journal of psychiatry · 2024Article
- Unlocking the power of physical activity in easing psychological distress.World journal of psychiatry · 2024Article
- Big-five personality traits and depression: chain mediation of self-efficacy and walking.Frontiers in psychiatry · 2024Article
- The relationship between mobile phone dependence and academic burnout in Chinese college students: a moderated mediator model.Frontiers in psychiatry · 2024Article
- Facilitation or hindrance? The impact of downward social comparison on adversarial growth.Frontiers in psychology · 2024Article
- The relationship between stress, anxiety and eating behavior among Chinese students: a cross-sectional study.Frontiers in public health · 2024Article
- A bibliometric analysis of anxiety and depression among primary school students.Frontiers in psychiatry · 2024Review
- Subjective well-being among PhD students in mainland China: the roles of psychological capital and academic engagement.Frontiers in psychology · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
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.
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