ArticleFrontiers in psychology2026
AI-driven proactive music therapy in the era of digital mental health.
Article 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 2 papers.
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
2 citing papers in PubMed.
- Integrated arts engagement as preventive infrastructure for active and healthy aging: a conceptual and policy framework.Frontiers in public health · 2026Article
- Reimagining maternal and infant wellbeing through AI-embedded integrative arts-based care: a public health perspective.Frontiers in public health · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital technologies such as telepsychology, mobile health applications, artificial intelligence (AI), and immersive virtual environments are rapidly transforming the delivery of psychological care. Despite these advances, music therapy remains weakly integrated into most digital mental health systems. In many current interventions, including virtual reality therapies and mental health applications, music is typically used as background ambience rather than as an active therapeutic mechanism. This disconnect limits the potential of music-based interventions for emotional regulation and psychological support. Advances in artificial intelligence create new opportunities to address this gap. Through emotion recognition, behavioral data analysis, and generative music algorithms, AI systems can anticipate emotional states and deliver adaptive musical interventions before psychological distress escalates. Such AI-driven proactive music therapy enables music to function as an embedded regulatory component within digital mental health ecosystems rather than as a passive environmental feature. A conceptual framework for integrating proactive music therapy into digital mental health platforms is proposed, highlighting key technological components including emotion sensing, adaptive music intelligence, and digital therapeutic delivery. Ethical considerations and research priorities for AI-enabled music interventions are also outlined. AI-driven proactive music therapy may represent an important direction for scalable and personalized psychological care in the era of digital mental health.
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What Socratic 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 Socratic graph.