The rise of artificial intelligence for cognitive behavioral therapy : A bibliometric overview
Vanhée, Loïs ; Andersson, Gerhard ; Garcia, Danilo LU
and Sikström, Sverker
LU
(2025)
In Applied Psychology: Health and Well-Being
17(2).
- Abstract
Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known about how this interest is realized and hence the overall status, prospects, and possible challenges of AI4CBT as a field (e.g. breadth of the field, key topics and methods, key producing countries/institutions/authors, interdisciplinary grounding). This paper addresses this gap by developing a broad-spectrum bibliometric analysis towards acquiring a comprehensive overview of the AI4CBT field. Four key dimensions are analyzed (productivity, producers, productions, and contents) along the array... (More)
Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known about how this interest is realized and hence the overall status, prospects, and possible challenges of AI4CBT as a field (e.g. breadth of the field, key topics and methods, key producing countries/institutions/authors, interdisciplinary grounding). This paper addresses this gap by developing a broad-spectrum bibliometric analysis towards acquiring a comprehensive overview of the AI4CBT field. Four key dimensions are analyzed (productivity, producers, productions, and contents) along the array of bibliographic metrics, including production trends over time, leading contributors at various levels, co-authorship, citation, and keywords co-occurrence networks, publication formats, key venues, methodological trends, and disciplinary assessment. The paper concludes by framing the status of AI4CBT as a scientific field, allowing to tie it to scientific and applicative challenges and opportunities that AI4CBT may encounter and offer as it further develops.
(Less)
- author
- Vanhée, Loïs
; Andersson, Gerhard
; Garcia, Danilo
LU
and Sikström, Sverker
LU
- organization
- publishing date
- 2025-05
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- artificial intelligence, bibliometric analysis, cognitive behavioral therapy, Interdisciplinarity analysis, topic analysis
- in
- Applied Psychology: Health and Well-Being
- volume
- 17
- issue
- 2
- article number
- e70033
- publisher
- Wiley-Blackwell
- external identifiers
-
- scopus:105003669328
- pmid:40274359
- ISSN
- 1758-0846
- DOI
- 10.1111/aphw.70033
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2025 The Author(s). Applied Psychology: Health and Well-Being published by John Wiley & Sons Ltd on behalf of International Association of Applied Psychology.
- id
- cd7cbf21-26c1-49dc-9098-698367cc17ae
- date added to LUP
- 2025-08-06 13:28:41
- date last changed
- 2025-08-07 03:00:02
@article{cd7cbf21-26c1-49dc-9098-698367cc17ae,
abstract = {{<p>Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known about how this interest is realized and hence the overall status, prospects, and possible challenges of AI4CBT as a field (e.g. breadth of the field, key topics and methods, key producing countries/institutions/authors, interdisciplinary grounding). This paper addresses this gap by developing a broad-spectrum bibliometric analysis towards acquiring a comprehensive overview of the AI4CBT field. Four key dimensions are analyzed (productivity, producers, productions, and contents) along the array of bibliographic metrics, including production trends over time, leading contributors at various levels, co-authorship, citation, and keywords co-occurrence networks, publication formats, key venues, methodological trends, and disciplinary assessment. The paper concludes by framing the status of AI4CBT as a scientific field, allowing to tie it to scientific and applicative challenges and opportunities that AI4CBT may encounter and offer as it further develops.</p>}},
author = {{Vanhée, Loïs and Andersson, Gerhard and Garcia, Danilo and Sikström, Sverker}},
issn = {{1758-0846}},
keywords = {{artificial intelligence; bibliometric analysis; cognitive behavioral therapy; Interdisciplinarity analysis; topic analysis}},
language = {{eng}},
number = {{2}},
publisher = {{Wiley-Blackwell}},
series = {{Applied Psychology: Health and Well-Being}},
title = {{The rise of artificial intelligence for cognitive behavioral therapy : A bibliometric overview}},
url = {{http://dx.doi.org/10.1111/aphw.70033}},
doi = {{10.1111/aphw.70033}},
volume = {{17}},
year = {{2025}},
}