The Sleep Revolution project: the concept and objectives
Obstructive sleep apnea is linked to severe health consequences such as hypertension,
daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to …
daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to …
[HTML][HTML] Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective
A Bandyopadhyay, C Goldstein - Sleep and Breathing, 2023 - Springer
Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …
enabled technology in the field of sleep medicine. AI refers to the capability of computer …
Video-polysomnography procedures for diagnosis of rapid eye movement sleep behavior disorder (RBD) and the identification of its prodromal stages: guidelines from …
Abstract Video-polysomnography (v-PSG) is essential for diagnosing rapid eye movement
(REM) sleep behavior disorder (RBD). Although there are current American Academy of …
(REM) sleep behavior disorder (RBD). Although there are current American Academy of …
[HTML][HTML] Towards validating the effectiveness of obstructive sleep apnea classification from electronic health records using machine learning
Obstructive sleep apnea (OSA) is a common, chronic, sleep-related breathing disorder
characterized by partial or complete airway obstruction in sleep. The gold standard …
characterized by partial or complete airway obstruction in sleep. The gold standard …
An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model
Abstract Machine learning (ML) models have become a key component in modern world
services. In decision-making domains where human expertise is crucial, for example, for …
services. In decision-making domains where human expertise is crucial, for example, for …
Sleep posture recognition based on machine learning: A systematic review
X Li, Y Gong, X Jin, P Shang - Pervasive and Mobile Computing, 2023 - Elsevier
Background: In recent years, the application of artificial intelligence in the field of sleep
medicine has rapidly emerged. One of the main concerns of many researchers is the …
medicine has rapidly emerged. One of the main concerns of many researchers is the …
[HTML][HTML] Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study
S Tsuiki, T Nagaoka, T Fukuda, Y Sakamoto… - Sleep and …, 2021 - Springer
Purpose In 2-dimensional lateral cephalometric radiographs, patients with severe
obstructive sleep apnea (OSA) exhibit a more crowded oropharynx in comparison with non …
obstructive sleep apnea (OSA) exhibit a more crowded oropharynx in comparison with non …
Interrater sleep stage scoring reliability between manual scoring from two European sleep centers and automatic scoring performed by the artificial intelligence–based …
Study Objectives: The objective of this study was to evaluate interrater reliability between
manual sleep stage scoring performed in 2 European sleep centers and automatic sleep …
manual sleep stage scoring performed in 2 European sleep centers and automatic sleep …
[HTML][HTML] A clinical decision support system for sleep staging tasks with explanations from artificial intelligence: user-centered design and evaluation study
Background Despite the unprecedented performance of deep learning algorithms in clinical
domains, full reviews of algorithmic predictions by human experts remain mandatory. Under …
domains, full reviews of algorithmic predictions by human experts remain mandatory. Under …
Machine learning-based prediction of adherence to continuous positive airway pressure (CPAP) in obstructive sleep apnea (OSA)
Continuous positive airway pressure (CPAP) is the “gold-standard” therapy for obstructive
sleep apnea (OSA), but the main problem is the poor adherence. Therefore, we have …
sleep apnea (OSA), but the main problem is the poor adherence. Therefore, we have …