Neurology

Sleep Disorders

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

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Showing 274-294 of 2,743 articles
Diagnostic accuracy of machine learning algorithms in electrocardiogram-based sleep apnea detection: A systematic review and meta-analysis.

Sleep apnea is a prevalent disorder affecting 10 % of middle-aged individuals, yet it remains underd...

Jun 2025 40349509
Intelligent Incident Hypertension Prediction in Obstructive Sleep Apnea

Obstructive sleep apnea (OSA) is a significant risk factor for hypertension, primarily due to inte...

Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning

When addressing complex questions that require new information, people often associate the questio...

Sleep Position Classification using Transfer Learning for Bed-based Pressure Sensors

Bed-based pressure-sensitive mats (PSMs) offer a non-intrusive way of monitoring patients during s...

Fatigue and management of warfighter mental endurance.

Mental fatigue (MF) is a psychobiological state induced by prolonged exertion that has the potential...

May 2025 40350202
Wearable sleep recording augmented by artificial intelligence for Alzheimer's disease screening.

The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...

May 2025 40346113
The combination of physiology and machine learning for prediction of CPAP pressure and residual AHI in OSA.

STUDY OBJECTIVES: Continuous positive airway pressure (CPAP) is the treatment of choice for obstruct...

May 2025 39745438
On Aggregation Queries over Predicted Nearest Neighbors

We introduce Aggregation Queries over Nearest Neighbors (AQNNs), a novel type of aggregation queri...

Mortality risk assessment using deep learning-based frequency analysis of electroencephalography and electrooculography in sleep.

STUDY OBJECTIVES: To assess whether the frequency content of electroencephalography (EEG) and electr...

Feb 2025 39301948
What radio waves tell us about sleep!

The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (witho...

Jan 2025 39155830
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 ...

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