Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review

References

[1] World Health Organization. (2024). Global Mental Health Status Report. WHO Publications.

[2] +S. S. Nyakhar and H. Wang. Effectiveness of artificial intelligence chatbots on mental health and well-being:A systematic review, Frontiers in Psychiatry, vol. 16, 2025

[3] T. D. Hull et al. Generative AI for mental health support: Effects on depression and anxiety outcomes, arXiv preprint arXiv:2511.11689, 2025.

[4] Chen, L., et al. (2023). Chatbot-Assisted Therapy: Efficacy in Depression and Anxiety Treatment. Mental Health Technology Review, 8(2), 145-168.

[5] Patel, R., & Kumar, S. (2023). Ethical Frameworks for AI in Healthcare Applications. Healthcare Ethics Quarterly,15(3), 289-305.

[6] Anderson, M., Thompson, J., & Williams, K. (2023). Privacy and Security in Digital Mental Health Systems. Cybersecurity in Healthcare, 7(1), 56-78.

[7] European Commission. (2023). Regulatory Guidelines for AI-Based Healthcare Interventions. EU Digital Health Initiative.

[8] National Institute of Mental Health. (2024). Emerging Technologies in Mental Health Care: Implementation Guidelines. NIMH Research Reports.

[9] Kim, H., Lee, J., & Park, S. (2023). Natural Language Processing for Emotional Intelligence in Chatbot Systems. AIand Psychology Review, 11(4), 312-334.

[10] Thompson, E., & Martinez, R. (2023). Long-Term Outcomes of Chatbot-Assisted Mental Health Interventions: A FiveYear Follow-Up Study. Journal of Clinical Psychology and Technology, 14(2), 167-189.

[11] International Labour Organization. (2024). The Economic Impact of Mental Health Conditions on Global Productivity. ILO Technical Report.

@article{1716482,
      author = {Komal , Khushi Rajput, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri},
      title = {Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {1999-2007},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716482.pdf},
      abstract = {Mental health disorders remain a critical global health concern, significantly contributing to disease burden and economic impact. Conventional therapeutic systems often fail to meet the rising demand for timely and accessible mental healthcare. This paper presents a systematic review of Artificial Intelligence-enabled chatbots in mental health, highlighting their potential to enhance support delivery. By integrating Natural Language Processing (NLP), sentiment analysis, and emotion recognition, these systems provide scalable, real-time, and stigma-free assistance. The study analyses chatbot architectures, underlying technologies, functionalities, benefits, and ethical considerations. Findings indicate that AI-driven chatbots improve accessibility, enable early intervention, and support continuous care. However, they are best utilized as complementary tools alongside professional mental health services.},
      keywords = {Artificial Intelligence, Chatbots, Mental Health, NLP, Sentiment Analysis, Healthcare Technology, Digital Therapeutics},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1716482}
  }