ReviewFrontiers in psychology2026
The application of AI-assisted music therapy tools in mental health interventions.
Review in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled 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.
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
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of Perioperative Music Interventions on Emotional Outcomes in Children and Adolescents: A Systematic Review and Meta-Analysis Integrating Developmental Psychology and Music Education Perspectives.Paediatric anaesthesia · 2026Pooled it
- Current trends and applications of virtual reality-assisted music therapy: a scoping review.Frontiers in psychology · 2026Pooled it
- The neuro-psychological dimensions of piano interaction: from mental health therapy to intelligent systems.Frontiers in psychology · 2026Review
- Editorial: Exploring the impact of music interventions on brain function, behavior, and health, volume II.Frontiers in human neuroscience · 2026Article
- Empowered listening: Self-selected music's role in uplifting emotions during stress.Frontiers in psychology · 2026Article
- Understanding emotional responses to music using machine learning: evidence from a public dataset.Frontiers in psychology · 2026Article
- AI-driven proactive music therapy in the era of digital mental health.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rising prevalence of mental health problems across populations, the limitations of traditional interventions have become more evident. Music therapy has received growing attention as a psychological intervention, and recent advances in artificial intelligence (AI) have created new opportunities for this field. This review examines the application potential and implementation pathways of AI-assisted music therapy tools for mental health interventions. Drawing on the literature and representative cases, this review summarizes application models and reported effects of AI in music therapy. The available evidence suggests that AI-assisted music therapy tools can support personalized interventions by adapting to users' emotional and psychological states. Reported benefits include reductions in anxiety and depressive symptoms and improvements in emotion regulation across groups such as children, adolescents, and older adults. Finally, this review outlines priorities for future translation into mental health services and emphasizes data privacy and ethical standards to ensure responsible deployment.
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Identifiers
What OpenQuestion holds
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.