Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review

Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review

Abstract Background Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder. Misdiagnosis might lead to several systemic conditions, including hypertension, vascular damage, and cognitive impairment. The gold-standard diagnostic tool for OSA is polysomnography, which is expensive, time-co...

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Bibliographic Details
Main Authors: Sara Haghighat, Muhammed Joghatayi, Julien Issa, Sarina Azimian, Janet Brinz, Ali Ashkan, Akhilanand Chaurasia, Zahra Rahimian, Linda Sangalli
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Artificial intelligence
Obstructive sleep apnea
Diagnostic accuracy
Deep learning
Machine learning
Online Access:https://doi.org/10.1186/s12911-025-03129-x
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https://doi.org/10.1186/s12911-025-03129-x

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