ReviewDigital health
The role of AI-driven art therapy in supporting autism, mental health, and emotional well-being: An umbrella review.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The integration of artificial intelligence (AI) into therapeutic practices has introduced new possibilities for enhancing mental health interventions. Among these innovations, AI-driven art therapy has emerged as a promising approach, combining the expressive and healing aspects of traditional art therapy with the adaptive and analytical strengths of AI. This modality shows particular potential in supporting individuals with autism spectrum disorder (ASD), mental health challenges, and those seeking emotional well-being. Aim: This umbrella review aimed to synthesize and evaluate existing evidence on the application, effectiveness, and implementation of AI-driven art therapy in improving outcomes for individuals with ASD, mental health conditions, and emotional distress. Methods: A comprehensive search was conducted across multiple databases-including PubMed, Scopus, Web of Science, PsycINFO, IEEE Xplore, and ACM Digital Library-to identify systematic and scoping reviews that adhered to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The methodological quality of included reviews was assessed using the Joanna Briggs Institute (JBI) checklist. Thematic analysis was applied to extract and synthesize recurring patterns and core themes across studies. Results: The findings revealed significant therapeutic benefits of AI-driven art therapy, including enhanced communication and emotional regulation in individuals with ASD, and reduced symptoms of anxiety, depression, and Post-Traumatic Stress Disorder (PTSD) in mental health populations. Additionally, the platforms improved emotional well-being through personalized engagement, self-reflection, and increased autonomy. However, technological barriers, ethical concerns, and accessibility issues were noted as key limitations. Conclusions: AI-driven art therapy represents a transformative and accessible tool in modern therapeutic practices. While challenges remain, its potential to support diverse populations through individually tailored and engaging interventions makes it a valuable complement to traditional mental health care.
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Registered trials
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.