Music-Based Smart Digital Interventions for Health: A Scoping Review

Abstract

This scoping review systematically maps and synthesizes empirical research on smart, digital technology-delivered music interventions for health. Following Joanna Briggs Institute (JBI) methodology and PRISMA-ScR reporting guidelines, a comprehensive search of six electronic databases yielded 30 included studies spanning four clinical domains: psychological and mental health, neurological and motor rehabilitation, aging and cognitive care, and acute care and symptom management. Studies employed four primary technology categories: mobile applications, artificial intelligence and machine learning systems, wearable biosensors, and alternative interface platforms. Findings demonstrate that smart digital music interventions are broadly feasible and acceptable, with preliminary efficacy across diverse populations. The field is adapting and expanding to include adaptive, closedloop systems that modulate musical parameters in response to real-time physiological data, moving beyond traditional music interventions. Key gaps include standardized outcome frameworks, longitudinal data including adherence, and clinical validation of AI algorithms and machine learning systems. © 2026, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved.