Sleep Disorders

Considering counterfactual prediction models in sleep research: A demonstration of incident stroke prediction in an observational cohort study.

OBJECTIVE: Data-driven risk prediction algorithms are increasingly common. However, studies suggesti...

In-laboratory polysomnography as the reference standard in sleep research: a bibliometric overview of human studies.

BACKGROUND: In-laboratory attended Polysomnography (PSG) is the reference standard for objective sle...

Corrigendum to "Altered default mode network homogeneity in chronic insomnia disorder: modulation by modified suanzaoren decoction and estazolam, and machine learning classification" [Brain Res. 1890 (2026) 150482].

Automatic Apnea Detection and Classification in Preterm Infants Combining Machine Learning with Transcutaneous Electromyography of the Diaphragm: a Pilot Study.

INTRODUCTION: Real-time monitoring of apneic events is important to improve treatment and reduce int...

Prediction of cardiovascular outcomes using electrocardiography from overnight polysomnography.

STUDY OBJECTIVES: Polysomnography (PSG) is the gold standard for diagnosing sleep disorders, which a...

Hemoglobin Exhibits a U-Shaped Association with Obstructive Sleep Apnea at High Altitude: Machine-Learning and Exploratory Interventional Evidence.

OBJECTIVES: Chronic high-altitude hypoxia induces adaptive erythrocytosis, but the relationship betw...

Insomnia is associated with altered arachidonic acid-induced platelet aggregation and lower cholesterol independent of age in aspirin-treated unstable angina: a machine learning analysis.

BACKGROUND: In aspirin-treated unstable angina (UA), heterogeneity in on-treatment arachidonic acid ...

Machine learning models for prediction of continuous positive airway pressure failure and high-flow nasal cannula failure in preterm neonates with respiratory distress.

UNLABELLED: This study aims to develop and internally validate separate machine learning models pred...

Dense temporal sleep apnea profiling from single-channel PPG with downstream AHI estimation: a large-scale retrospective feasibility study.

Sleep apnea (SA) diagnosis remains challenging due to the cost and limited accessibility of polysomn...

Unsupervised Clustering Analysis of Snoring Identifies Acoustic Biomarkers for the Severity of Obstructive Sleep Apnea.

BACKGROUND: Obstructive sleep apnea (OSA) is a prevalent public health concern linked to cardiovascu...

Artificial Intelligence-Powered Craniofacial Photogrammetry Analysis of Pediatric Obstructive Sleep Apnea.

OBJECTIVES: To develop an artificial intelligence (AI) system for craniofacial morphology analysis i...

Accuracy of Artificial Intelligence in Diagnosing Obstructive Sleep Apnea Using Photoplethysmography: Systematic Review and Meta-Analysis.

BACKGROUND: The traditional method for diagnosing obstructive sleep apnea (OSA) through polysomnogra...

Baihe Ganmai Dazao Decoction ameliorates depression-like and sleep-disturbance phenotypes: potential involvement of IL-17A/IL-17RA-related inflammatory signaling and microglial polarization.

ETHNOPHARMACOLOGICAL RELEVANCE: Originally documented in Zhang Zhongjing's Synopsis of Prescriptions...

Improving sleep monitoring in athletes: a comparative evaluation of four automated sleep scoring algorithms on 204 polysomnography recordings.

Objective With advancements in AI, automated sleep scoring offers the potential for fast, precis...

Stage-specific EEG spectral signatures of primary insomnia: regional and sex-related differences across NREM and REM sleep.

Sleep architecture is characterized by dynamic transitions between non-rapid eye movement (NREM) and...

Agomelatine as augmentation therapy with second-generation antipsychotics for negative symptoms of schizophrenia: An open-label randomised clinical trial and electroencephalogram-derived model for treatment response prediction.

BACKGROUND: Negative symptoms are a core diagnostic domain of schizophrenia that affect functional o...

Epigenetic Insights and Exosome-Based Therapeutics for Insomnia: Bridging Sleep Biology and Precision Medicine.

Insomnia is a multifactorial disorder characterized by persistent sleep disturbances arising from co...

Identifying key risk factors of adolescent Internet Gaming Disorder using explainable machine learning and network analysis.

BACKGROUND: Internet Gaming Disorder (IGD) poses significant psychological and social risks for adol...

Performance of AI-Based Screening Tools for Obstructive Sleep Apnea Across Apnea-Hypopnea Index Thresholds: Systematic Review and Meta-Analysis.

BACKGROUND: Obstructive sleep apnea (OSA) is highly prevalent but remains substantially underdiagnos...

Quality of life and perceived care in Lynch syndrome: Associated factors and interpretable machine-learning classification.

PURPOSE: To examine associations between pathogenic variant carrier status, cancer status, health-re...

A Dual Soft Attention Network for Automatic Sleep Staging via Single-Lead Electrocardiogram Signals.

Polysomnography (PSG) is the current gold standard for sleep monitoring; however, it is complex, bur...