AI for Mental Health: The Use of Chatbots and NLP to Support Therapy and Early Detection

Abstract: The escalating mental health crisis worldwide has spurred the examination of alternative technologies to improve access to care, enable early identification of mental health conditions, and provide tailored support. This study investigates the use of Artificial Intelligence (AI), specifically chatbots and Natural Language Processing (NLP), for mental health care. AI-enabled chatbots are increasingly finding their way into therapeutic settings to provide immediate, scalable, and stigma-less support for individuals suffering from psychological distress. These virtual agents can mimic human-like conversations, deliver cognitive behavioural therapy (CBT) strategies, provide continuous mood monitoring, and facilitate evidence-informed interventions. Using highly sophisticated NLP algorithms, AI systems can analyse users' use of language, sentiment, and vocal patterns to detect early signs of mental health-related disorders like depression, anxiety disorders, and posttraumatic stress disorder (PTSD). This paper provides an overview of existing AI-based mental health applications and investigates the effectiveness of AI-enabled chatbots through user engagement in comparison to traditional methods of therapy. Ultimately, this paper examines the ethical concerns around AI in mental health related to privacy of information, and the limitations of machines exhibiting empathy. In addition, the study considers hybrid models made up of human therapists and AI technologies that can improve diagnostic accuracy and therapy benefits. The development of AI technologies in mental health care may dramatically improve barriers to treatment, particularly for those with limited access to mental health care, including those in underserved areas. Overall, the results indicate that artificial intelligence can be a valuable tool in traditional therapy, when developed responsibly and ethically, providing new opportunities for early intervention, ongoing support, and improved access to mental health services. Keywords: mental health; mental health interventions; clinical psychology; artificialintelligence; AI chatbots; chatbot; AI;

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Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-05-07
DOI
https://doi.org/10.55041/isjem03402
Primary Topic
Mental Health via Writing
Type
article
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article

AI for Mental Health: The Use of Chatbots and NLP to Support Therapy and Early Detection

Neha Yadav
International Scientific Journal of Engineering and Management
Mental Health via Writing
article

AI for Mental Health: The Use of Chatbots and NLP to Support Therapy and Early Detection

Neha Yadav
article en

Abstract

Abstract: The escalating mental health crisis worldwide has spurred the examination of alternative technologies to improve access to care, enable early identification of mental health conditions, and provide tailored support. This study investigates the use of Artificial Intelligence (AI), specifically chatbots and Natural Language Processing (NLP), for mental health care. AI-enabled chatbots are increasingly finding their way into therapeutic settings to provide immediate, scalable, and stigma-less support for individuals suffering from psychological distress. These virtual agents can mimic human-like conversations, deliver cognitive behavioural therapy (CBT) strategies, provide continuous mood monitoring, and facilitate evidence-informed interventions. Using highly sophisticated NLP algorithms, AI systems can analyse users' use of language, sentiment, and vocal patterns to detect early signs of mental health-related disorders like depression, anxiety disorders, and posttraumatic stress disorder (PTSD). This paper provides an overview of existing AI-based mental health applications and investigates the effectiveness of AI-enabled chatbots through user engagement in comparison to traditional methods of therapy. Ultimately, this paper examines the ethical concerns around AI in mental health related to privacy of information, and the limitations of machines exhibiting empathy. In addition, the study considers hybrid models made up of human therapists and AI technologies that can improve diagnostic accuracy and therapy benefits. The development of AI technologies in mental health care may dramatically improve barriers to treatment, particularly for those with limited access to mental health care, including those in underserved areas. Overall, the results indicate that artificial intelligence can be a valuable tool in traditional therapy, when developed responsibly and ethically, providing new opportunities for early intervention, ongoing support, and improved access to mental health services. Keywords: mental health; mental health interventions; clinical psychology; artificialintelligence; AI chatbots; chatbot; AI;

International Scientific Journal of Engineering and ManagementVol. 04(05)
Openalex Percentile: Top 89%
Mental Health via Writing
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AI for Mental Health: The Use of Chatbots and NLP to Support Therapy and Early Detection — Neha Yadav · International Scientific Journal of Engineering and Management (2025) | TGRS Research Map | TGRS