Neurology

Sleep Disorders

Latest AI and machine learning research in sleep disorders for healthcare professionals.

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A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning

Obstructive sleep apnea (OSA) is a common sleep disorder associated with increased cardiovascular an...

REM sleep predicts reductions in pathophysiological daytime basal ganglia-cortical circuit activity in Parkinson’s disease

Sleep disturbances have been shown to be intimately and bidirectionally related to disease progressi...

A Multimodal Sleep Foundation Model Developed with 500K Hours of Sleep Recordings for Disease Predictions

Sleep is a fundamental biological process with profound implications for physical and mental health,...

Machine Learning Models for Dynamic Assessment of Extubation Readiness in Pediatric Critical Care

Determining the optimal timing for extubation in critically ill children remains challenging, with p...

A Unified Flexible Large Polysomnography Model for Sleep Staging and Mental Disorder Diagnosis

Sleep quality is vital to human health, yet automated sleep staging faces challenges in cross-center...

SleepDepNet: A Multi-Task Transformer Framework for Assessing Sleep Quality and Depression Risk from Social Media Narratives

The bidirectional relationship between sleep disturbances and depression presents a serious challeng...

The effect of psychotherapy on the multivariate association between insomnia and depressive symptoms in late-life depression

Late-life depression (LLD) is prevalent in older adults and linked to increased disability, mortalit...

Status and Opportunities of Machine Learning Applications in Obstructive Sleep Apnea: A Narrative Review

Obstructive sleep apnea (OSA) is a prevalent and potentially severe sleep disorder characterized by ...

A Single-Channel EEG Approach for Sleep Stage-Independent Automatic Detection of REM Sleep Behavior Disorder

Rapid Eye Movement (REM) Sleep Behavior Disorder (RBD) is a parasomnia characterized by the loss of ...

Automated Insomnia Phenotyping from Electronic Health Records: Leveraging Large Language Models to Decode Clinical Narratives

Insomnia is a highly prevalent but often underdiagnosed condition in clinical practice. Its inconsis...

Foundation Models Reveal Untapped Health Information in Human Polysomnographic Sleep Data

Traditional sleep assessment methods rely on visual scoring of polysomnography (PSG), categorizing s...

Neuroinflammation distinguishes HLA haplotypes in progressive supranuclear palsy

Progressive supranuclear palsy (PSP) is a neurodegenerative 4R tauopathy clinically presenting with ...

Longitudinal Cardiorespiratory Wearable Sleep Staging in the Home

There is a growing interest in performing automated, longitudinal tracking of sleep in the home envi...

Automatic Sleep Staging from CPAP Airflow using a Dual Fusion Multi-Period Convolutional Neural Network

Background: Continuous Positive Airway Pressure (CPAP) therapy is the standard treatment for obstruc...

The Brain Imaging and Neurophysiology Database: BINDing multimodal neural data into a large-scale repository

The Brain Imaging and Neurophysiology Database (BIND) represents one of the largest multi-institutio...

Optimized Machine Learning Algorithms for the Classification and Diagnosis of Sleep Disorders

Sleep disorders, including insomnia and obstructive sleep apnea, affect millions of individuals worl...

Bedtime Brain State Predicts the Impact of Closed-Loop Auditory Stimulation on Sleep and Cognition

Sleep interventions targeting slow-wave activity (SWA) show heterogeneous effects across individuals...

Sleep Staging Foundation Models Encode Neural Disorder-Related EEG Representations that Generalize to Wakefulness

To leverage sleep foundation models trained on large datasets of polysomnography for neurological di...

A Zero-Burden Sleep Foundation Model Built on Cardiorespiratory Signals from 800,000+ Hours of Multi-Ethnic Sleep Recordings

Sleep disorders pose a major global health burden and are associated with a wide range of adverse he...

Automated Sleep Stage and Event Detection Algorithms Using Quality-Controlled PSG Annotations

To develop machine-learning models for sleep stage classification, arousal detection, and respirator...

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