Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review.
Journal:
BMC medical informatics and decision making
Published Date:
Jul 28, 2025
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-consuming, and not accessible everywhere. Artificial intelligence (AI) algorithms can facilitate diagnosis by detecting patients' signs and symptoms. In this systematic review, we evaluated the diagnostic accuracy of AI models in detecting sleep apnea.