Digital and AI-Enhanced Cognitive Behavioral Therapy for Insomnia: Neurocognitive Mechanisms and Clinical Outcomes DOI Open Access
Evgenia Gkintoni, Stephanos P. Vassilopoulos, Γεώργιος Νικολάου

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(7), P. 2265 - 2265

Published: March 26, 2025

Background/Objectives: This systematic review explores the integration of digital and AI-enhanced cognitive behavioral therapy (CBT) for insomnia, focusing on underlying neurocognitive mechanisms associated clinical outcomes. Insomnia significantly impairs functioning, overall health, quality life. Although traditional CBT has demonstrated efficacy, its scalability ability to deliver individualized care remain limited. Emerging AI-driven interventions-including chatbots, mobile applications, web-based platforms-present innovative avenues delivering more accessible personalized insomnia treatments. Methods: Following PRISMA guidelines, this synthesized findings from 78 studies published between 2004 2024. A search was conducted across PubMed, Scopus, Web Science, PsycINFO. Studies were included based predefined criteria prioritizing randomized controlled trials (RCTs) high-quality empirical research that evaluated AI-augmented interventions targeting sleep disorders, particularly insomnia. Results: The suggest improves parameters, patient adherence, satisfaction, personalization in alignment with individual profiles. Moreover, these technologies address critical limitations conventional CBT, notably those related access scalability. AI-based tools appear especially promising optimizing treatment delivery adapting cognitive-behavioral patterns. Conclusions: While demonstrates strong potential advancing through broader accessibility, several challenges persist. These include uncertainties surrounding long-term practical implementation barriers, ethical considerations. Future large-scale longitudinal is necessary confirm sustained benefits AI-powered

Language: Английский

Digital and AI-Enhanced Cognitive Behavioral Therapy for Insomnia: Neurocognitive Mechanisms and Clinical Outcomes DOI Open Access
Evgenia Gkintoni, Stephanos P. Vassilopoulos, Γεώργιος Νικολάου

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(7), P. 2265 - 2265

Published: March 26, 2025

Background/Objectives: This systematic review explores the integration of digital and AI-enhanced cognitive behavioral therapy (CBT) for insomnia, focusing on underlying neurocognitive mechanisms associated clinical outcomes. Insomnia significantly impairs functioning, overall health, quality life. Although traditional CBT has demonstrated efficacy, its scalability ability to deliver individualized care remain limited. Emerging AI-driven interventions-including chatbots, mobile applications, web-based platforms-present innovative avenues delivering more accessible personalized insomnia treatments. Methods: Following PRISMA guidelines, this synthesized findings from 78 studies published between 2004 2024. A search was conducted across PubMed, Scopus, Web Science, PsycINFO. Studies were included based predefined criteria prioritizing randomized controlled trials (RCTs) high-quality empirical research that evaluated AI-augmented interventions targeting sleep disorders, particularly insomnia. Results: The suggest improves parameters, patient adherence, satisfaction, personalization in alignment with individual profiles. Moreover, these technologies address critical limitations conventional CBT, notably those related access scalability. AI-based tools appear especially promising optimizing treatment delivery adapting cognitive-behavioral patterns. Conclusions: While demonstrates strong potential advancing through broader accessibility, several challenges persist. These include uncertainties surrounding long-term practical implementation barriers, ethical considerations. Future large-scale longitudinal is necessary confirm sustained benefits AI-powered

Language: Английский

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