17071 Artificial Intelligence Optimization Devices for Sleep Assistance Incorporating with Psychological Intervention: A Systematic Review

R3a-2

Abstract

Sleep is critical for physical, cognitive, and mental well-being, with insufficient sleep linked to adverse health outcomes. Traditional polysomnography (PSG) is limited for long-term at-home monitoring, prompting AI-integrated consumer devices (e.g., wearables, apps) that track sleep and deliver interventions like CBT, acoustic stimulation, and music therapy. This systematic review compares functional integrity, user satisfaction, and efficacy in promoting long-term behavior change between multimodal and single-modal AI interventions; analyzes differences in sleep quality improvement, satisfaction, and adherence across personalized interventions (e.g., CBT, sound guidance); and explores moderating factors (demographics, device characteristics, intervention design). It synthesizes 2020–2025 literature on AI-integrated sleep devices, focusing on intervention effectiveness beyond device accuracy. Findings will address gaps in understanding diverse AI-driven interventions, informing optimized, personalized sleep support.