Artificial Intelligence in Clinical Psychology: Advancing Evidence While Challenging Foundations

Authors

  • Emanuele Maria Merlo Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy

DOI:

https://doi.org/10.13129/2282-1619/mjcp-5420

Keywords:

AI, Artificial intelligence, Clinical psychology, Multifactorial research, Techonological advancements

References

Ali, M., Ali, S., Abbas, Q., Abbas, Z., & Lee, S. W. (2025). Artificial intelligence for mental health: A narrative review of applications, challenges, and future directions in digital health. Digital Health, 11, 20552076251395548. https://doi.org/10.1177/20552076251395548

Ara, A., & Mifa, A. F. (2024). Integrating artificial intelligence and big data in mobile health: a systematic review of innovations and challenges in healthcare systems. Global Mainstream Journal of Business, Economics, Development & Project Management, 3(1), 1-16. https://doi.org/10.62304/jbedpm.v3i01.70

Badawy, M. (2023). Integrating artificial intelligence and big data into smart healthcare systems: A comprehensive review of current practices and future directions. Artificial Intelligence Evolution, 133-153. https://doi.org/10.37256/aie.4220232980

Brailas, A. (2025). Artificial intelligence in qualitative research: Beyond outsourcing data analysis to the machine. Psychology International, 7(3), 78. https://doi.org/10.3390/psycholint7030078

Chen, D., Liu, Y., Guo, Y., & Zhang, Y. (2024). The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics. Acta Psychologica, 251, 104593. https://doi.org/10.1016/j.actpsy.2024.104593

Dekker, J., & de Groot, V. (2018). Psychological adjustment to chronic disease and rehabilitation–an exploration. Disability and Rehabilitation, 40(1), 116-120. https://doi.org/10.1080/09638288.2016.1247469

Di Giuseppe, M., & Conversano, C. (2022). Psychological components of chronic diseases: the link between defense mechanisms and alexithymia. Mediterranean Journal of Clinical Psychology, 10(3). https://doi.org/10.13129/2282-1619/mjcp-3602

Di Giuseppe, M., Spatola, C., Maria Merlo, E., Silvestro, O., Mario Giorgianni, C., Juli, G., Catalano, A., & Martino, G. (2025). Research advances in clinical psychology of chronic diseases. Psychiatria Danubina, 37(suppl 1), 56-62.

Faiyazuddin, M., Rahman, S. J. Q., Anand, G., Siddiqui, R. K., Mehta, R., Khatib, M. N., Gaidhane, G., Zahiruddin, Q. S., Hissai, A., & Sah, R. (2025). The impact of artificial intelligence on healthcare: a comprehensive review of advancements in diagnostics, treatment, and operational efficiency. Health science reports, 8(1), e70312. https://doi.org/10.1002/hsr2.70312

Fu, Z., Brouwer, M., Kennis, M., Williams, A., Cuijpers, P., & Bockting, C. (2021). Psychological factors for the onset of depression: a meta-analysis of prospective studies. BMJ open, 11(7), e050129. https://doi.org/10.1136/bmjopen-2021-050129

Guarino, D., Martino, G., Juli, G., & Di Giuseppe, M. (2025). Personality and Emotion Regulation in Chronic Illness. Psychiatria Danubina, 37(suppl 1), 39-45.

Helgeson, V. S., & Zajdel, M. (2017). Adjusting to chronic health conditions. Annual Review of Psychology, 68, 545-571. https://doi.org/10.1146/annurev-psych-010416-044014

Higgins, O., Short, B. L., Chalup, S. K., & Wilson, R. L. (2023). Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review. International Journal of Mental Health Nursing, 32(4), 966-978. https://doi.org/10.1111/inm.13114

Hopwood, C. J., Morey, L. C., & Markon, K. E. (2023). What is a psychopathology dimension?. Clinical psychology review, 106, 102356. https://doi.org/10.1016/j.cpr.2023.102356

Jiakponna, E. C., Agbomola, J. O., Ipede, O., Karakitie, L., Ogunsina, A. J., Adebayo, K. T., & Tinuoye, M. O. (2024). Psychosocial factors in chronic disease management: Implications for health psychology. International Journal of Science and Research Archive, 12(02), 117-128. https://doi.org/10.30574/ijsra.2024.12.2.1219

Lau, Y., Ang, W. H. D., Ang, W. W., Pang, P. C. I., Wong, S. H., & Chan, K. S. (2025). Artificial intelligence–based psychotherapeutic intervention on psychological outcomes: a meta‐analysis and meta‐regression. Depression and Anxiety, 2025(1), 8930012. https://doi.org/10.1155/da/8930012

Malik, S., & Srivastava, P. (2025). Impact of artificial intelligence on the therapeutic alliance in mental health care: A narrative review. AI and Sustainable Transformations, 189-194. https://doi.org/10.1201/9781003642886-26

Malouin-Lachance, A., Capolupo, J., Laplante, C., & Hudon, A. (2025). Does the digital therapeutic alliance exist? Integrative review. JMIR Mental Health, 12, e69294. https://doi.org/10.2196/69294

Martin, K. D., & Zimmermann, J. (2024). Artificial intelligence and its implications for data privacy. Current opinion in psychology, 58, 101829. https://doi.org/10.1016/j.copsyc.2024.101829

Martino, G., Giacobello, M. L., Silvestro, O., Meduri, A., Sparacino, G., Gangemi, S., & Vicario, C. M. (2026). Cyberchondria and complexity: a systems-level exploration of anxiety and informational instability in the digital age. Frontiers in Psychology, 17, 1794803. https://doi.org/10.3389/fpsyg.2026.1794803

Mavrogiorgos, K., Kiourtis, A., Mavrogiorgou, A., Menychtas, A., & Kyriazis, D. (2024). Bias in machine learning: A literature review. Applied Sciences, 14(19), 8860. https://doi.org/10.3390/app14198860

Merlo, E. M. (2025). A Reflection on the Complex and Multifactorial Outcomes Underlying Mental Health and Related Alterations. Mediterranean Journal of Clinical Psychology, 13(2). https://doi.org/10.13129/2282-1619/mjcp-4988

Merlo, E., Sparacino, G., Silvestro, O., Giacobello, M., Meduri, A., Casciaro, M., Gangemi, S., & Martino, G. (2026). The Role of Artificial Intelligence in Shaping the Doctor–Patient Relationship: A Narrative Review. Healthcare, 14(4). https://doi.org/10.3390/healthcare14040481

Ohu, F. C., Burrell, D. N., & Jones, L. A. (2025). Public Health Risk Management, Policy, and Ethical Imperatives in the Use of AI Tools for Mental Health Therapy. Healthcare, 13(21). https://doi.org/10.3390/healthcare13212721

Prégent, J., Chung, V. H. A., El Adib, I., Désilets, M., & Hudon, A. (2025). Applications of artificial intelligence in psychiatry and psychology education: scoping review. JMIR Medical Education, 11, e75238. https://doi.org/10.2196/75238

Rezaei, Z., Khorraminia, A., Shi, D., & Banad, Y. M. (2026). Network-based artificial intelligence in mental healthcare: A systematic review of chatbots, artificial intelligence/machine learning models and ethical considerations in global healthcare networks. Digital Health, 12, 20552076261421688. https://doi.org/10.1177/20552076261421688

Sasseville, M., Ouellet, S., Rhéaume, C., Sahlia, M., Couture, V., Després, P., Pasquette, J-S., Darmon, D., Bergeron, F., & Gagnon, M. P. (2025). Bias mitigation in primary health care artificial intelligence models: scoping review. Journal of Medical Internet Research, 27, e60269. https://doi.org/10.2196/60269

Singhal, S., Cooke, D. L., Villareal, R. I., Stoddard, J. J., Lin, C. T., & Dempsey, A. G. (2024). Machine learning for mental health: applications, challenges, and the clinician's role. Current Psychiatry Reports, 26(12), 694-702. https://doi.org/10.1007/s11920-024-01561-w

Song, Z. (2026). Ethical Challenges in AI Emotional Interaction: Mechanisms of Emotional Dependence and Governance Pathways. Journal of Psychology & Education, 1(2), 27-27. https://doi.org/10.66581/6d1kt879

Tavory, T. (2024). Regulating AI in mental health: ethics of care perspective. JMIR Mental Health, 11(1), e58493. https://doi.org/10.2196/58493

Timmons, A. C., Duong, J. B., Simo Fiallo, N., Lee, T., Vo, H. P. Q., Ahle, M. W., Comer, J. S., Brewer, L. C., Fraizer, S. L., & Chaspari, T. (2023). A call to action on assessing and mitigating bias in artificial intelligence applications for mental health. Perspectives on Psychological Science, 18(5), 1062-1096. https://doi.org/10.1177/17456916221134490

Tornero-Costa, R., Martinez-Millana, A., Azzopardi-Muscat, N., Lazeri, L., Traver, V., & Novillo-Ortiz, D. (2023). Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review. JMIR Mental Health, 10(1), e42045. https://doi.org/10.2196/42045

Woo, S. E., Tay, L., & Oswald, F. (2024). Artificial intelligence, machine learning, and big data: Improvements to the science of people at work and applications to practice. Personnel Psychology, 77(4), 1387-1402. https://doi.org/10.1111/peps.12643

Zheng, H., & Zhang, X. (2025). Psychiatry in the age of AI: transforming theory, practice, and medical education. Frontiers in Public Health, 13, 1660448. https://doi.org/10.3389/fpubh.2025.1660448

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Published

30-04-2026

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Section

Editorial