Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Savio, Abel; Srivastava, Manshvi; Jose, Maria Rose; Kumar, Nikita; Elanjickal, Crissin Sojan; Singh, Kuljeet Title A name given to the resource A review of artificial intelligence enhanced cognitive behavioural therapy using the BECK AI BOT for mental health interventions Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Discover Mental Health;Volume;6;Issue;1;Article No.;43; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s44192-026-00391-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s44192-026-00391-x</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034537728?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034537728?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Savio A., Department of Psychology, School of Social Sciences, Christ University, Delhi-NCR, New Delhi, 201003, India; Srivastava M., Department of Psychology, School of Social Sciences, Christ University, Delhi-NCR, New Delhi, 201003, India; Jose M.R., Department of Psychology, School of Social Sciences, Christ University, Delhi-NCR, New Delhi, 201003, India; Kumar N., Department of Psychology, School of Social Sciences, Christ University, Delhi-NCR, New Delhi, 201003, India; Elanjickal C.S., School of Business and Management, Christ University, New Delhi, Delhi-NCR, 201003, India; Singh K., Department of Computer Science, School of Sciences, Christ University, New Delhi, Delhi-NCR, 201003, India Description An account of the resource The integration of artificial intelligence (AI) and cognitive behaviour therapy (CBT) is a revolutionary solution to the global mental health issue, characterized by increasing need and decreased access to treatment. This research investigates the potential of AI-fortified cognitive behavioural therapy technologies, including chatbots, virtual reality, and adaptive learning modules, to enhance the efficacy, accessibility, and individualization of treatment for anxiety, depression, and PTSD. The study evaluates the scalability, ethical issues, and therapeutic efficacy of the therapies by combining peer-reviewed and experimental data. The suggested methodology combines AI-driven conversational therapy with predictive modelling to deliver individualized, real-time mental health treatment. In this study, a conceptual chatbot prototype, designated BECK-AI BOT, was developed to illustrate the applications interface and functionality, enhancing accessibility for both patients and therapists in the future. This study does not present new clinical trial data. All reported symptom-reduction and engagement findings are drawn from previously published studies of existing AI-driven CBT systems (e.g., Woebot, Wysa, Eleos, Limbic). The present work offers a narrative synthesis of current evidence and introduces a conceptual architecture and prototype (BECK-AI BOT), without evaluating it clinically. Notwithstanding these difficulties, problems persist, including a lack of long-term efficacy statistics, cultural sensitivity issues, and moral reservations about over-reliance on AI during emergencies. The argument comes in the form of AI possibly improving, not replacing, human therapists, emphasizing hybrid systems for fair treatment. Future research needs to advance emotional intelligence within AI, which combines AI-driven conversational therapy and predictive modelling to deliver real-time, personalized mental health services. The Author(s) 2026. Subject The topic of the resource Artificial intelligence (AI); Cognitive behavioural therapy (CBT); Depression; Mental health; Post-Traumatic stress disorder (PTSD) Publisher An entity responsible for making the resource available Springer Nature Relation A related resource ISSN: 27314383; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online