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Emergence of Artificial Intelligence Art Therapies (AIATs) in Mental Health Care: A Systematic Review.

Authors :
Luo, Xuexing
Zhang, Aijia
Li, Yu
Zhang, Zheyu
Ying, Fangtian
Lin, Runqing
Yang, Qianxu
Wang, Jue
Huang, Guanghui
Source :
International Journal of Mental Health Nursing. Dec2024, Vol. 33 Issue 6, p1743-1760. 18p.
Publication Year :
2024

Abstract

The application of artificial intelligence art therapies (AIATs) in mental health care represents an innovative merger between digital technology and the therapeutic potential of creative arts. This systematic review aimed to assess the effectiveness and ethical considerations of AIATs, incorporating robots, AI painting and AI Chatbots to augment traditional art therapies. Aligning with the Preferred Reporting Items for systematic reviews (PRISMA) guidelines, we meticulously searched PubMed, Cochrane Library, Web of Science and CNKI, resulting in 15 selected articles for detailed analysis. To ensure methodological quality, we applied the Joanna Briggs Institute (JBI) criteria for quality assessment and extracted data using the PICO(S) format, specifically targeting randomised controlled trials (RCTs). Our findings suggest that AIATs can profoundly enhance the therapeutic experience by providing new creative outlets and reinforcing existing methods, despite possible drawbacks and ethical challenges. This examination underscores AIATs' potential to enrich mental health therapies, emphasising the critical importance of ethical considerations and the responsible application of AI as the field evolves. With a focus on expanding treatment efficacy and patient expressiveness, the promise of AIATs in mental health care necessitates a careful balance between innovation and ethical responsibility. Trial Registration: PROSPERO: CRD42024504472 [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14458330
Volume :
33
Issue :
6
Database :
Academic Search Index
Journal :
International Journal of Mental Health Nursing
Publication Type :
Academic Journal
Accession number :
180926249
Full Text :
https://doi.org/10.1111/inm.13384