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The Application of Artificial Intelligence in the Field of Mental Health: A Systematic Review Publisher Pubmed



Dehbozorgi R1, 2 ; Zangeneh S3 ; Khooshab E4 ; Nia DH5 ; Hanif HR6 ; Samian P7 ; Yousefi M8 ; Hashemi FH9 ; Vakili M10 ; Jamalimoghadam N11 ; Lohrasebi F5
Authors
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Authors Affiliations
  1. 1. Community Based Psychiatric Care Research Center, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
  2. 2. Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
  3. 3. Health Deputy, Kermanshah University of Medical Science, Kermanshah, Iran
  4. 4. Department of Nursing, Shiraz Branch, Islamic Azad University, Shiraz, Iran
  5. 5. Department of Psychiatric Nursing, School of Nursing & Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
  6. 6. University of Science and Technology (IUST), Tehran, Iran
  7. 7. Department of Educational Sciences, Faculty of Education and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran
  8. 8. Master’s Student in Clinical Psychology, Faculty of Medical Sciences, Hamedan Branch, Islamic Azad University, Hamedan, Iran
  9. 9. Nursing and Midwifery Care Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  10. 10. Department of Psychology, Faculty of Psychology, Payam Noor University, Kaboudar Ahang Center, Hamedan, Iran
  11. 11. School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran

Source: BMC Psychiatry Published:2025


Abstract

Introduction: The integration of artificial intelligence in mental health care represents a transformative shift in the identification, treatment, and management of mental disorders. This systematic review explores the diverse applications of artificial intelligence, emphasizing both its benefits and associated challenges. Methods: A comprehensive literature search was conducted across multiple databases based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses, including ProQuest, PubMed, Scopus, and Persian databases, resulting in 2,638 initial records. After removing duplicates and applying strict selection criteria, 15 articles were included for analysis. Results: The findings indicate that AI enhances early detection and intervention for mental health conditions. Various studies highlighted the effectiveness of AI-driven tools, such as chatbots and predictive modeling, in improving patient engagement and tailoring interventions. Notably, tools like the Wysa app demonstrated significant improvements in user-reported mental health symptoms. However, ethical considerations regarding data privacy and algorithm transparency emerged as critical challenges. Discussion: While the reviewed studies indicate a generally positive trend in AI applications, some methodologies exhibited moderate quality, suggesting room for improvement. Involving stakeholders in the creation of AI technologies is essential for building trust and tackling ethical issues. Future studies should aim to enhance AI methods and investigate their applicability across various populations. Conclusion: This review underscores the potential of AI to revolutionize mental health care through enhanced accessibility and personalized interventions. However, careful consideration of ethical implications and methodological rigor is essential to ensure the responsible deployment of AI technologies in this sensitive field. © The Author(s) 2025.
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