PERSPECTIVE article
Front. Sleep
Sec. Sleep and Breathing
This article is part of the Research TopicNovel technologies in the diagnosis and management of sleep-disordered breathing: Volume IIIView all 17 articles
Redefining telemedicine in obstructive sleep apnea management through artificial intelligence
Provisionally accepted
- 1University of Gothenburg, Gothenburg, Sweden
- 2Umea Universitet, Umeå, Sweden
- 3Grenoble Alps University, HP2 Laboratory, Grenoble, France
- 4Universiteit Antwerpen, Antwerp, Belgium
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Abstract Obstructive sleep apnea (OSA) represents a significant and increasingly prevalent health burden, impacting individual patients through diminished quality of life, increased morbidity and mortality, as well as society at large, via reduced productivity and escalating healthcare and welfare expenditures. As a multifactorial and heterogeneous disorder, OSA encompasses diverse endotypes and phenotypes, necessitating personalized approaches to diagnosis and management in order to achieve optimal clinical outcomes. Modern telemedicine encompasses a broad spectrum of digital tools designed to enhance the efficiency and precision of care delivery for complex conditions. Recent years have witnessed the rapid integration of advanced telehealth technologies, including consumer-grade devices, into clinical practice. Simultaneously, artificial intelligence (AI) has emerged as a transformative force in healthcare, enabling the automation of routine tasks, advanced data analytics, and the generation of novel clinical hypotheses. Within this domain, large language models, a subclass of AI specializing in natural language processing, offer new opportunities for augmenting patient-provider interactions, including streamlining communication and triaging patient-reported data. Despite these technological advancements, the full potential of telemedicine in the management of OSA remains underexplored. However, its implementation is expanding, particularly in longitudinal care models involving large patient cohorts. This Perspective aims to synthesize current state-of-the-art developments and proposes a comprehensive, integrated framework that leverages telemedicine, AI, and a multidimensional understanding of comorbidities and treatable traits throughout the continuum of OSA care, from screening and diagnosis to adherence monitoring and treatment optimization.
Keywords: adherence, digital pathway, Home sleep apnea test, patient centered care, Positive airway pressure, precision medicine, Treatable trait, wearable
Received: 01 Aug 2025; Accepted: 28 Oct 2025.
Copyright: © 2025 Zou, Lisik, BAILLY and Verbraecken. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ding Zou, zou.ding@lungall.gu.se
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