Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea

被引:0
作者
Hannah L. Brennan
Simon D. Kirby
机构
[1] Memorial University of Newfoundland and Labrador,Faculty of Medicine
来源
Journal of Otolaryngology - Head & Neck Surgery | / 51卷
关键词
Artificial intelligence; Obstructive sleep apnea; Diagnosis; Barriers;
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[1]  
Peppard PE(2013)Increased prevalence of sleep-disordered breathing in adults Am J Epidemiol 177 1006-1014
[2]  
Young T(2015)Epidemiological aspects of obstructive sleep apnea J Thorac Dis 7 920-929
[3]  
Barnet JH(2016)Diagnosis and treatment of obstructive sleep apnea in adults Am Fam Phys 94 355-360
[4]  
Palta M(1999)The association between sleep apnea and the risk of traffic accidents. Cooperative Group Burgos-Santander N Engl J Med 340 847-851
[5]  
Hagen EW(2016)Screening and assessment for obstructive sleep apnea in primary care Sleep Med Rev 29 41-51
[6]  
Hla KM(2020)Critical issues in dental and medical management of obstructive sleep apnea J Dent Res 99 26-35
[7]  
Garvey JF(2019)Polysomnography Handb Clin Neurol 160 381-392
[8]  
Pengo MF(2020)Clinician-focused overview and developments in polysomnography Curr Sleep Med Rep. 6 1-13
[9]  
Drakatos P(2016)Polysomnography challenges Sleep Med Clin 11 403-411
[10]  
Kent BD(2015)Improvement in obstructive sleep apnea diagnosis and management wait times: a retrospective analysis of home management pathway for obstructive sleep apnea Can Respir J 22 167-170