Evidence map›Paper›PMID 41688781›Full record

ArticleDiscover mental health2026

A review of artificial intelligence enhanced cognitive behavioural therapy using the BECK AI BOT for mental health interventions.

Abel Savio, Manshvi Srivastava, Maria Rose Jose, Nikita Kumar, Crissin Sojan Elanjickal, Kuljeet Singh

Abstract read
In one paragraph

Article in Discover mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abel SavioDepartment of Psychology, School of Social Sciences, Christ University, New Delhi, Delhi-NCR, 201003, India.
Manshvi SrivastavaDepartment of Psychology, School of Social Sciences, Christ University, New Delhi, Delhi-NCR, 201003, India.
Maria Rose JoseDepartment of Psychology, School of Social Sciences, Christ University, New Delhi, Delhi-NCR, 201003, India.
Nikita KumarDepartment of Psychology, School of Social Sciences, Christ University, New Delhi, Delhi-NCR, 201003, India.
Crissin Sojan ElanjickalSchool of Business and Management, Christ University, Delhi-NCR, New Delhi, 201003, India.
Kuljeet SinghDepartment of Computer Science, School of Sciences, Christ University, Delhi-NCR, New Delhi, 201003, India. kuljeet.singh@christuniversity.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 application’s 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.

Indexed as

Artificial intelligence (AI)Cognitive behavioural therapy (CBT)DepressionMental healthPost-Traumatic stress disorder (PTSD)

Identifiers

PMID41688781
PMCPMC13009442

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.