AI-Driven Applications for Psychological Counseling: Global Trends and Impacts

Authors

DOI:

https://doi.org/10.56127/ijml.v5i1.2548

Keywords:

Artificial Intelligence, Mental Health, Mobile Applications, Psychological Counseling, Systematic Literature Review.

Abstract

The integration of Artificial Intelligence (AI) in psychological counseling has accelerated, especially through mobile and web-based platforms. AI-based systems such as chatbots, virtual therapists, and intelligent monitoring tools have transformed how individuals access mental health services. These technologies offer scalable, real-time support, reduce stigma barriers, and augment the work of human counselors. However, critical questions remain regarding their accuracy, ethical risks, cultural relevance, and emotional authenticity. This study applies a Systematic Literature Review (SLR) guided by the PRISMA method to synthesize peer-reviewed research on the forms, functions, and impacts of AI implementation in psychological counseling from 2016 to 2026. The review includes 25 valid references, with 80% drawn from online scientific journals and over half from international sources. Findings show that AI tools are widely used for mental health screening, psychoeducation, and therapy delivery. Positive impacts include accessibility and cost-efficiency, while negative concerns involve data privacy, algorithmic bias, and trustworthiness. Both counselor and user perspectives reveal a complex interplay between digital convenience and human empathy. The study concludes that while AI is a promising support mechanism in mental health services, it must be applied with cultural sensitivity, ethical safeguards, and professional integration. This review provides a foundation for future research and policy development concerning AI’s responsible role in psychological support systems.

References

Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (WoeBot): a randomized controlled trial. JMIR Mental Health, 4(2), e19. https://doi.org/10.2196/mental.7785

Fanarioti, A. K., & Karpouzis, K. (2025). Artificial intelligence and the future of mental health in a digitally transformed world. Computers, 14(7), 259. https://doi.org/10.3390/computers14070259

Olawade, D. B., Wada, O. Z., Odetayo, A., David-Olawade, A. C., Asaolu, F., & Eberhardt, J. (2024). Enhancing mental health with Artificial Intelligence: Current trends and future prospects. Journal of Medicine Surgery and Public Health, 3, 100099. https://doi.org/10.1016/j.glmedi.2024.100099

Youper AI. Available from: https://www.youper.ai/ [Accessed 2025 July 25].

Akintoye, O. S., Maale, F. D., Yusuf, R. A., & Odondi, A. A. (2023). A review of AI-Driven Mental Health Interventions in the United States: Gaps and opportunities. Journal of Frontiers in Multidisciplinary Research, 4(1), 446–457. https://doi.org/10.54660/.jfmr.2023.4.1.446-457

Bilquise, G., Ibrahim, S., & Shaalan, K. (2022). Emotionally Intelligent Chatbots: A Systematic Literature review. Human Behavior and Emerging Technologies, 2022, 1–23. https://doi.org/10.1155/2022/9601630

D'Alfonso S. (2020). AI in mental health. Current opinion in psychology, 36, 112–117. https://doi.org/10.1016/j.copsyc.2020.04.005

Boucher, E. M., Harake, N. R., Ward, H. E., Stoeckl, S. E., Vargas, J., Minkel, J., Parks, A. C., & Zilca, R. (2021). Artificially intelligent chatbots in digital mental health interventions: a review. Expert Review of Medical Devices, 18(sup1), 37–49. https://doi.org/10.1080/17434440.2021.2013200

Lucas, G. M., Gratch, J., King, A., & Morency, L. (2014). It’s only a computer: Virtual humans increase willingness to disclose. Computers in Human Behavior, 37, 94–100. https://doi.org/10.1016/j.chb.2014.04.043

Liu, X., Rivera, S. C., Moher, D., Calvert, M. J., & Denniston, A. K. (2020). Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension. BMJ, 370, m3164. https://doi.org/10.1136/bmj.m3164

Nandyala, S., Borse, L. B., Gayatri, A. P., & Bonthu, M. G. (2025). Artificial intelligence applications in patient counseling: Latest research, developments, and practical insights for beginners and advanced professionals. In Elsevier eBooks (pp. 385–402). https://doi.org/10.1016/b978-0-443-43823-3.00017-0

Ye, Y. (2025). Coexistence challenges in the AI era. Journal of Global Trends in Social Science, 2(8), 24–31. https://doi.org/10.70731/rex1ym06

Olukayode, S. M., Arogundade, B., Adebanjo, A. O., & Kalu, O. C. (2024). Digital mental health interventions and ai in therapy. International Research Journal of Modernization in Engineering Technology and Science, 6(9), 2890-2907. https://www.doi.org/10.56726/IRJMETS61880

Jurriens E and Tapsell R. (2017, May 9). Digital Indonesia: connectivity and divergence. [Online]. Available: Digital Indonesia: Connectivity and Divergence - Google Books [Accessed Dec 21, 2025]

Wibowo, M. F., Pyle, A., Lim, E., Ohde, J. W., Liu, N., & Karlström, J. (2025). Insights into the current and future state of AI adoption within health systems in Southeast Asia: Cross-Sectional Qualitative Study. Journal of Medical Internet Research, 27, e71591. https://doi.org/10.2196/71591

Zhong, W., Luo, J., & Zhang, H. (2024). The therapeutic effectiveness of artificial intelligence-based chatbots in alleviation of depressive and anxiety symptoms in short-course treatments: A systematic review and meta-analysis. Journal of Affective Disorders, 356, 459–469. https://doi.org/10.1016/j.jad.2024.04.057

Nemesure, M. D., Heinz, M. V., Huang, R., & Jacobson, N. C. (2021). Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence. Scientific Reports, 11(1), 1980. https://doi.org/10.1038/s41598-021-81368-4

S. M. Kambare, K. Jain, I. Kale, V. Kumbhare, S. Lohote and S. Lonare. (2024). Design and Evaluation of an AI-Powered Conversational Agent for Personalized Mental Health Support and Intervention (MindBot). International Conference on Sustainable Communication Networks and Application (ICSCNA), 1394-1402. https://doi.org/10.1109/ICSCNA63714.2024.10863855

Ganti, V. K. a. T., Edward, A., Polineni, T. N. S., & Abhireddy, N. (2024). AI-Enhanced Chatbots for Real-Time Symptom Analysis and Triage in Telehealth Services. African. Journal of Biomedical Research. https://doi.org/10.53555/ajbr.v27i3s.6065

Snigdha, E. Z., Hossain, M. R., & Mahabub, S. (2023). AI-Powered Healthcare Tracker Development: Advancing Real-Time patient monitoring and Predictive analytics through Data-Driven Intelligence". Journal of Computer Science and Technology Studies, 5(4), 229–239. https://doi.org/10.32996/jcsts.2023.5.4.24

Asim, M., Yousaf, H. F., Nasir, U., Farooq, M. A., & Yousaf, F. (2025). The Influence of AI-Powered Chatbots on Reducing Mental Health Care Barriers in Rural Areas. Dialogue Social Science Review (DSSR), 3(1), 664-677

Utomo, V. G., Widhiastuti, H., Heryanti, R., & Susilo, M. N. I. B. (2025). Usability Test of Mental Health Application MoodPath with Software Usability Measurement Inventory. Jurnal Transformatika, 23(1), 41–53. https://doi.org/10.26623/transformatika.v23i2.12041

Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y. S., & Coiera, E. (2018). Conversational agents in healthcare: a systematic review. Journal of the American Medical Informatics Association, 25(9), 1248–1258. https://doi.org/10.1093/jamia/ocy072

Joseph, A. P., & Babu, A. (2024). Transference and the psychological interplay in AI-enhanced mental healthcare. Frontiers in Psychiatry, 15, 1460469. https://doi.org/10.3389/fpsyt.2024.1460469

Brown, J. E., & Halpern, J. (2021). AI chatbots cannot replace human interactions in the pursuit of more inclusive mental healthcare. SSM - Mental Health, 1, 100017. https://doi.org/10.1016/j.ssmmh.2021.100017.

Downloads

Published

2026-02-05