Research graph
References from Artificial intelligence for sleep-disordered breathing: a taxonomy of methods, data modalities, and clinical applications. Local targets link to admitted publications; unresolved targets remain external evidence.
SelANet: decision-assisting selective sleep apnea detection based on confidence score
10.1186/s12911-023-02292-3 · 2023 · External reference
An explainable deep-learning approach to detect pediatric sleep apnea from single-channel airflow
10.1109/jtehm.2025.3625388 · 2025 · External reference
A deep survival learning approach for cardiovascular risk estimation in patients with sleep apnea
10.1109/access.2022.3231743 · 2022 · External reference
Energy-efficient sleep apnea detection using a hyperdimensional computing framework based on wearable bracelet photoplethysmography
10.1109/tbme.2024.3377270 · 2024 · External reference
Contactless screening for sleep apnea with breathing vibration signals based on modified u-net
10.1016/j.sleep.2023.04.030 · 2023 · External reference
A single-center validation of the accuracy of a photoplethysmography-based smartwatch for screening obstructive sleep apnea
10.2147/nss.s323286 · 2021 · External reference
Predictive modeling of obstructive sleep apnea using pharyngeal magnetic resonance imaging radiomics and clinical data
10.5664/jcsm.11706 · 2025 · External reference
Mfs-dbf: a trustworthy multichannel feature sieve and decision boundary formulation system for obstructive sleep apnea detection
10.1016/j.compbiomed.2024.108842 · 2024 · External reference
A residual deep learning framework for sleep apnea diagnosis from single lead electrocardiogram signals: an explainable artificial intelligence approach
10.1016/j.engappai.2025.110481 · 2025 · External reference
Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning
10.1016/j.sleep.2022.12.015 · 2023 · External reference
Estimation of apnea-hypopnea index using deep learning on 3-d craniofacial scans
10.1109/jbhi.2021.3078127 · 2021 · External reference
Diagnostic performance of machine learning-derived osa prediction tools in large clinical and community-based samples
10.1016/j.chest.2021.10.023 · 2022 · External reference
A 1D snoring waveform and 2d composite acoustic feature graph-based multi-modal fusion network for obstructive sites recognition
10.1109/jbhi.2026.3670208 · 2026 · External reference
A machine learning prediction model of adult obstructive sleep apnea based on systematically evaluated common clinical biochemical indicators
10.2147/nss.s453794 · 2024 · External reference
A comparison of signal combinations for deep learning-based simultaneous sleep staging and respiratory event detection
10.1109/tbme.2022.3225268 · 2023 · External reference
Screening of sleep apnea based on heart rate variability and long short-term memory
10.1007/s11325-020-02249-0 · 2021 · External reference
Accurate apnea and hypopnea localization in psg with multi-scale object detection via dual-modal feature learning
10.1016/j.bspc.2023.105717 · 2024 · External reference
Deep attention networks with multi-temporal information fusion for sleep apnea detection
10.1109/ojemb.2024.3405666 · 2024 · External reference
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry
10.1016/j.compbiomed.2022.105784 · 2022 · External reference
Artificial intelligence in the diagnosis of obstructive sleep apnea: a scoping review
10.1007/s00405-025-09377-x · 2025 · External reference
AI-enhanced smartwatch AHI estimation and AI-scored polysomnography for obstructive sleep apnea: real-world validation
10.2147/nss.s540460 · 2025 · External reference
Apneawhisper: transformer-based audio segmentation for fine-grained non-invasive sleep apnea detection
10.2147/nss.s553774 · 2025 · External reference
Sleep apnea phenotypes based on multi-night assessment of sleep perception
10.1080/15402002.2026.2630936 · 2026 · External reference
Hybrid cnn-lstm network for real-time apnea-hypopnea event detection based on ir-uwb radar
10.1109/access.2021.3081747 · 2022 · External reference
AI-assisted awake endoscopic video analysis for obstructive sleep apnea detection
10.2147/nss.s559788 · 2025 · External reference
Toward foundational model for sleep analysis using a multimodal hybrid-self-supervised learning framework
10.1109/tcyb.2025.3603608 · 2025 · External reference
Utilizing a wireless radar framework in combination with deep learning approaches to evaluate obstructive sleep apnea severity in home-setting environments
10.2147/jmdh.s486261 · 2025 · External reference
Treatable traits-based pharmacologic treatment of sleep apnea
10.1016/j.jsmc.2024.10.002 · 2025 · External reference
Fusion of whole night features and desaturation segments combined with feature extraction for event-level screening of sleep-disordered breathing
10.2147/nss.s355369 · 2022 · External reference
Machine learning optimization of obstructive sleep apnea screening: development and validation of a gradient boosting prediction model with a clinical implementation framework
10.3389/fmed.2026.1775766 · 2026 · External reference
Dfcnet: a precise detection approach for obstructive sleep apnea-hypopnea events using airflow and respiratory effort signals
10.1109/jbhi.2026.3688540 · 2026 · External reference
Is brain injury in obstructive sleep apnea reversible?
10.5665/sleep.1572 · 2012 · External reference
Features of cheyne-stokes respiration automatically extracted from cpap airflow signal raw data: Identification of discriminating features to detect heart failure
10.1016/j.bspc.2023.105227 · 2023 · External reference
AI-driven clinical decision support for early diagnosis and treatment planning in patients with suspected sleep apnea using clinical and demographic data before sleep studies
10.1038/s41533-025-00455-5 · 2025 · External reference
Automated scoring of respiratory events in sleep with a single effort belt and deep neural networks
10.1109/tbme.2021.3136753 · 2022 · External reference
Automatic respiratory event scoring in obstructive sleep apnea using a long short-term memory neural network
10.1109/jbhi.2021.3064694 · 2021 · External reference
A deep transfer learning approach for sleep stage classification and sleep apnea detection using wrist-worn consumer sleep technologies
10.1109/tbme.2024.3378480 · 2024 · External reference
On the generalization of sleep apnea detection methods based on heart rate variability and machine learning
10.1109/access.2022.3201911 · 2022 · External reference
Sleep apnoea phenotypes in women: a cluster analysis from the esada cohort
10.1016/j.sleep.2024.10.015 · 2024 · External reference
A bimodal feature fusion convolutional neural network for detecting obstructive sleep apnea/hypopnea from nasal airflow and oximetry signals
10.1016/j.artmed.2024.102808 · 2024 · External reference
Towards automatic home-based sleep apnea estimation using deep learning
10.1038/s41746-024-01139-z · 2024 · External reference
Evaluation of an automated sleep apnea scoring algorithm via the wesper lab home sleep apnea test
10.1016/j.sleep.2026.108828 · 2026 · External reference
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
10.1016/j.compbiomed.2022.105364 · 2022 · External reference
Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults
10.1186/s12911-023-02331-z · 2023 · External reference
Screening for obstructive sleep apnea hypopnea using sleep breathing sounds based on the psg-audio dataset
10.1016/j.bspc.2024.107472 · 2025 · External reference
Craniofacial development characteristics in children with obstructive sleep apnea for establishment and external validation of the prediction model
10.2147/nss.s492714 · 2024 · External reference
10.1109/tbme.2026.3656326
10.1109/tbme.2026.3656326 · 2026 · External reference
Osapredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics
10.1016/j.compbiomed.2024.108777 · 2024 · External reference
Hamce-net: Heterogeneity-aware multimodal cross-epoch network for sleep apnea detection
10.1109/access.2026.3686169 · 2026 · External reference
Belun sleep platform versus in-lab polysomnography for obstructive sleep apnea diagnosis
10.1007/s11325-025-03433-w · 2025 · External reference
Obstructive sleep apnea detection based on sleep sounds via deep learning
10.2147/nss.s373367 · 2022 · External reference
Psg-mae: robust multitask sleep event monitoring using multichannel psg reconstruction and inter-channel contrastive learning
10.1109/tnsre.2025.3645353 · 2026 · External reference
Multi-task learning for OSA detection and sleep staging via multi-scale modeling
10.1109/jbhi.2025.3647317 · 2025 · External reference
Quadas-2: a revised tool for the quality assessment of diagnostic accuracy studies
10.7326/0003-4819-155-8-201110180-00009 · 2011 · External reference
Probast: a tool to assess the risk of bias and applicability of prediction model studies
10.7326/m18-1376 · 2019 · External reference
Upper airway segmentation based on the attention mechanism of weak feature regions
10.1109/access.2021.3094032 · 2021 · External reference
A unified neural network framework for synchronized pressure control in home ventilators
10.1016/j.engappai.2026.114541 · 2026 · External reference
Fenet: A frequency extraction network for obstructive sleep apnea detection
10.1109/jbhi.2021.3050113 · 2021 · External reference
Development of a multimodal obstructive sleep apnea diagnostic prediction model using two -dimensional facial images and clinical data
10.1109/jbhi.2026.3678664 · 2026 · External reference
Novel event-based peripheral oxygen saturation metrics provide complementary information for OSA classification
10.1109/tbme.2026.3665589 · 2026 · External reference
Deep learning for obstructive sleep apnea detection and severity assessment: a multimodal signals fusion multiscale transformer model
10.2147/nss.s492806 · 2025 · External reference
A prediction nomogram of severe obstructive sleep apnea in patients with obesity based on the liver stiffness and abdominal visceral adipose tissue quantification
10.2147/nss.s475534 · 2024 · External reference
Unconstrained respiratory event detection using a flexible tactile sensor
10.1109/jsen.2024.3442240 · 2024 · External reference
Measuring sleep stages and screening for obstructive sleep apnea with a wearable multi-sensor system in comparison to polysomnography
10.2147/nss.s406359 · 2023 · External reference
Artificial intelligence in the diagnosis of obstructive sleep apnea: a scoping review
10.1007/s00405-025-09377-x · ExternalCitation · doi-reference
Screening of sleep apnea based on heart rate variability and long short-term memory
10.1007/s11325-020-02249-0 · ExternalCitation · doi-reference
Belun sleep platform versus in-lab polysomnography for obstructive sleep apnea diagnosis
10.1007/s11325-025-03433-w · ExternalCitation · doi-reference
A bimodal feature fusion convolutional neural network for detecting obstructive sleep apnea/hypopnea from nasal airflow and oximetry signals
10.1016/j.artmed.2024.102808 · ExternalCitation · doi-reference
Features of cheyne-stokes respiration automatically extracted from cpap airflow signal raw data: Identification of discriminating features to detect heart failure
10.1016/j.bspc.2023.105227 · ExternalCitation · doi-reference
Accurate apnea and hypopnea localization in psg with multi-scale object detection via dual-modal feature learning
10.1016/j.bspc.2023.105717 · ExternalCitation · doi-reference
Screening for obstructive sleep apnea hypopnea using sleep breathing sounds based on the psg-audio dataset
10.1016/j.bspc.2024.107472 · ExternalCitation · doi-reference
Diagnostic performance of machine learning-derived osa prediction tools in large clinical and community-based samples
10.1016/j.chest.2021.10.023 · ExternalCitation · doi-reference
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
10.1016/j.compbiomed.2022.105364 · ExternalCitation · doi-reference
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry
10.1016/j.compbiomed.2022.105784 · ExternalCitation · doi-reference
Osapredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics
10.1016/j.compbiomed.2024.108777 · ExternalCitation · doi-reference
Mfs-dbf: a trustworthy multichannel feature sieve and decision boundary formulation system for obstructive sleep apnea detection
10.1016/j.compbiomed.2024.108842 · ExternalCitation · doi-reference
A residual deep learning framework for sleep apnea diagnosis from single lead electrocardiogram signals: an explainable artificial intelligence approach
10.1016/j.engappai.2025.110481 · ExternalCitation · doi-reference
A unified neural network framework for synchronized pressure control in home ventilators
10.1016/j.engappai.2026.114541 · ExternalCitation · doi-reference
Treatable traits-based pharmacologic treatment of sleep apnea
10.1016/j.jsmc.2024.10.002 · ExternalCitation · doi-reference
Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning
10.1016/j.sleep.2022.12.015 · ExternalCitation · doi-reference
Contactless screening for sleep apnea with breathing vibration signals based on modified u-net
10.1016/j.sleep.2023.04.030 · ExternalCitation · doi-reference
Sleep apnoea phenotypes in women: a cluster analysis from the esada cohort
10.1016/j.sleep.2024.10.015 · ExternalCitation · doi-reference
Evaluation of an automated sleep apnea scoring algorithm via the wesper lab home sleep apnea test
10.1016/j.sleep.2026.108828 · ExternalCitation · doi-reference
AI-driven clinical decision support for early diagnosis and treatment planning in patients with suspected sleep apnea using clinical and demographic data before sleep studies
10.1038/s41533-025-00455-5 · ExternalCitation · doi-reference
Towards automatic home-based sleep apnea estimation using deep learning
10.1038/s41746-024-01139-z · ExternalCitation · doi-reference
Sleep apnea phenotypes based on multi-night assessment of sleep perception
10.1080/15402002.2026.2630936 · ExternalCitation · doi-reference
Hybrid cnn-lstm network for real-time apnea-hypopnea event detection based on ir-uwb radar
10.1109/access.2021.3081747 · ExternalCitation · doi-reference
Upper airway segmentation based on the attention mechanism of weak feature regions
10.1109/access.2021.3094032 · ExternalCitation · doi-reference
On the generalization of sleep apnea detection methods based on heart rate variability and machine learning
10.1109/access.2022.3201911 · ExternalCitation · doi-reference
A deep survival learning approach for cardiovascular risk estimation in patients with sleep apnea
10.1109/access.2022.3231743 · ExternalCitation · doi-reference
Hamce-net: Heterogeneity-aware multimodal cross-epoch network for sleep apnea detection
10.1109/access.2026.3686169 · ExternalCitation · doi-reference
Fenet: A frequency extraction network for obstructive sleep apnea detection
10.1109/jbhi.2021.3050113 · ExternalCitation · doi-reference
Automatic respiratory event scoring in obstructive sleep apnea using a long short-term memory neural network
10.1109/jbhi.2021.3064694 · ExternalCitation · doi-reference
Estimation of apnea-hypopnea index using deep learning on 3-d craniofacial scans
10.1109/jbhi.2021.3078127 · ExternalCitation · doi-reference
Multi-task learning for OSA detection and sleep staging via multi-scale modeling
10.1109/jbhi.2025.3647317 · ExternalCitation · doi-reference
A 1D snoring waveform and 2d composite acoustic feature graph-based multi-modal fusion network for obstructive sites recognition
10.1109/jbhi.2026.3670208 · ExternalCitation · doi-reference
Development of a multimodal obstructive sleep apnea diagnostic prediction model using two -dimensional facial images and clinical data
10.1109/jbhi.2026.3678664 · ExternalCitation · doi-reference
Dfcnet: a precise detection approach for obstructive sleep apnea-hypopnea events using airflow and respiratory effort signals
10.1109/jbhi.2026.3688540 · ExternalCitation · doi-reference
Unconstrained respiratory event detection using a flexible tactile sensor
10.1109/jsen.2024.3442240 · ExternalCitation · doi-reference
An explainable deep-learning approach to detect pediatric sleep apnea from single-channel airflow
10.1109/jtehm.2025.3625388 · ExternalCitation · doi-reference
Deep attention networks with multi-temporal information fusion for sleep apnea detection
10.1109/ojemb.2024.3405666 · ExternalCitation · doi-reference
Automated scoring of respiratory events in sleep with a single effort belt and deep neural networks
10.1109/tbme.2021.3136753 · ExternalCitation · doi-reference
A comparison of signal combinations for deep learning-based simultaneous sleep staging and respiratory event detection
10.1109/tbme.2022.3225268 · ExternalCitation · doi-reference
Energy-efficient sleep apnea detection using a hyperdimensional computing framework based on wearable bracelet photoplethysmography
10.1109/tbme.2024.3377270 · ExternalCitation · doi-reference
A deep transfer learning approach for sleep stage classification and sleep apnea detection using wrist-worn consumer sleep technologies
10.1109/tbme.2024.3378480 · ExternalCitation · doi-reference
10.1109/tbme.2026.3656326
10.1109/tbme.2026.3656326 · ExternalCitation · doi-reference
Novel event-based peripheral oxygen saturation metrics provide complementary information for OSA classification
10.1109/tbme.2026.3665589 · ExternalCitation · doi-reference
Toward foundational model for sleep analysis using a multimodal hybrid-self-supervised learning framework
10.1109/tcyb.2025.3603608 · ExternalCitation · doi-reference
Psg-mae: robust multitask sleep event monitoring using multichannel psg reconstruction and inter-channel contrastive learning
10.1109/tnsre.2025.3645353 · ExternalCitation · doi-reference
SelANet: decision-assisting selective sleep apnea detection based on confidence score
10.1186/s12911-023-02292-3 · ExternalCitation · doi-reference
Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults
10.1186/s12911-023-02331-z · ExternalCitation · doi-reference
Utilizing a wireless radar framework in combination with deep learning approaches to evaluate obstructive sleep apnea severity in home-setting environments
10.2147/jmdh.s486261 · ExternalCitation · doi-reference
A single-center validation of the accuracy of a photoplethysmography-based smartwatch for screening obstructive sleep apnea
10.2147/nss.s323286 · ExternalCitation · doi-reference
Fusion of whole night features and desaturation segments combined with feature extraction for event-level screening of sleep-disordered breathing
10.2147/nss.s355369 · ExternalCitation · doi-reference
Obstructive sleep apnea detection based on sleep sounds via deep learning
10.2147/nss.s373367 · ExternalCitation · doi-reference
Measuring sleep stages and screening for obstructive sleep apnea with a wearable multi-sensor system in comparison to polysomnography
10.2147/nss.s406359 · ExternalCitation · doi-reference
A machine learning prediction model of adult obstructive sleep apnea based on systematically evaluated common clinical biochemical indicators
10.2147/nss.s453794 · ExternalCitation · doi-reference
A prediction nomogram of severe obstructive sleep apnea in patients with obesity based on the liver stiffness and abdominal visceral adipose tissue quantification
10.2147/nss.s475534 · ExternalCitation · doi-reference
Craniofacial development characteristics in children with obstructive sleep apnea for establishment and external validation of the prediction model
10.2147/nss.s492714 · ExternalCitation · doi-reference
Deep learning for obstructive sleep apnea detection and severity assessment: a multimodal signals fusion multiscale transformer model
10.2147/nss.s492806 · ExternalCitation · doi-reference
AI-enhanced smartwatch AHI estimation and AI-scored polysomnography for obstructive sleep apnea: real-world validation
10.2147/nss.s540460 · ExternalCitation · doi-reference
Apneawhisper: transformer-based audio segmentation for fine-grained non-invasive sleep apnea detection
10.2147/nss.s553774 · ExternalCitation · doi-reference
AI-assisted awake endoscopic video analysis for obstructive sleep apnea detection
10.2147/nss.s559788 · ExternalCitation · doi-reference
Machine learning optimization of obstructive sleep apnea screening: development and validation of a gradient boosting prediction model with a clinical implementation framework
10.3389/fmed.2026.1775766 · ExternalCitation · doi-reference
Predictive modeling of obstructive sleep apnea using pharyngeal magnetic resonance imaging radiomics and clinical data
10.5664/jcsm.11706 · ExternalCitation · doi-reference
Is brain injury in obstructive sleep apnea reversible?
10.5665/sleep.1572 · ExternalCitation · doi-reference
Quadas-2: a revised tool for the quality assessment of diagnostic accuracy studies
10.7326/0003-4819-155-8-201110180-00009 · ExternalCitation · doi-reference
Probast: a tool to assess the risk of bias and applicability of prediction model studies
10.7326/m18-1376 · ExternalCitation · doi-reference
