Neurology

Sleep Disorders

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

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Showing 253-273 of 2,814 articles
Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm.

Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming an...

(1)
Jun 2022 35744042
Robot-Assisted Laparoscopic Calyceo-Pyelostomy for Vascular Compression of the Upper Calyx (Fraley Syndrome).

Fraley's Syndrome is a rare anatomic vascular malformation described in 1966 where an aberrant cross...

Jun 2022 35680048
Insomnia disorder diagnosed by resting-state fMRI-based SVM classifier.

BACKGROUND: The main classification systems of sleep disorders are based on the subjective self-repo...

Apr 2022 35576773
Machine learning and geometric morphometrics to predict obstructive sleep apnea from 3D craniofacial scans.

BACKGROUND: Obstructive sleep apnea (OSA) remains massively underdiagnosed, due to limited access to...

(1)
Apr 2022 35567881
Sleep staging classification based on a new parallel fusion method of multiple sources signals.

In the field of medical informatics, sleep staging is a challenging and time consuming task undertak...

Apr 2022 35381584
Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea.

BACKGROUND: Obstructive sleep apnea is a common clinical condition and has a significant impact on t...

Apr 2022 35468865
Polysomnographic identification of anxiety and depression using deep learning.

Anxiety and depression are common psychiatric conditions associated with significant morbidity and h...

Mar 2022 35358832
Impact of planting density and soaking seeds in melatonin solution on yield, secondary products content and antimicrobial activity of lovage plant.

Many studies worldwide have been done on the effect of medicinal uses of lovage plant but, very litt...

Dec 2021 35531235
Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans.

Obstructive sleep apnea (OSA) is characterized by decreased breathing events that occur through the ...

(3)
Nov 2021 33961569
Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

Depression symptom heterogeneity limits the identifiability of treatment-response biomarkers. Whethe...

Aug 2021 34390089
Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.

BACKGROUND AND OBJECTIVES: while traditional sleep staging is achieved through the visual - expert-b...

Jul 2021 34333204
Machine learning-based preoperative datamining can predict the therapeutic outcome of sleep surgery in OSA subjects.

Increasing recognition of anatomical obstruction has resulted in a large variety of sleep surgeries ...

Jul 2021 34290326
AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning.

Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-related breathing disorder. It is c...

Jul 2021 34412849
A classification approach to estimating human circadian phase under circadian alignment from actigraphy and photometry data.

The time of dim light melatonin onset (DLMO) is the gold standard for circadian phase assessment in ...

Jun 2021 34050968
Machine learning prediction of sleep stages in dairy cows from heart rate and muscle activity measures.

Sleep is important for cow health and shows promise as a tool for assessing welfare, but methods to ...

May 2021 34035392
A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data.

Sleep disturbances are common in Alzheimer's disease and other neurodegenerative disorders, and toge...

(1)
May 2021 34064694
Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

We investigated the differential spatial covariance pattern of blood oxygen level-dependent (BOLD) r...

Apr 2021 33931676
A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network.

Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing during slee...

(1)
Apr 2021 33901251
A deep cascaded segmentation of obstructive sleep apnea-relevant organs from sagittal spine MRI.

PURPOSE: The main purpose of this work was to develop an efficient approach for segmentation of stru...

Mar 2021 33770362
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