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1716482 Vol 9 · Issue 10 Download Paper

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

Komal Khushi Rajput Dr. Ishrat Ali Prof. (Dr.) Sanjay Pachauri

Subject area: Science,Engineering and Technology  ·  Area of research: AI in Healthcare

DOI: https://doi.org/10.64388/IREV9I10-1716482

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

How to cite this paper

Komal , Khushi Rajput, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 1999-2007 https://doi.org/10.64388/IREV9I10-1716482
Komal , Khushi Rajput, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026, doi: https://doi.org/10.64388/IREV9I10-1716482
Komal , Khushi Rajput, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri (2026). Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review. Iconic Research And Engineering Journals, 9(10). doi: https://doi.org/10.64388/IREV9I10-1716482
Komal , Khushi Rajput, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026. Crossref, https://doi.org/10.64388/IREV9I10-1716482
@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}
  }