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obstructive sleep apnea diagnosis

market2 mentionslast seen Nov 3, 2026

Clinical application for identifying airway obstructions in sleep apnea patients.

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Audio Spectrogram Transformerapplies toobstructive sleep apnea diagnosis90% confidence1 source
ResNet-50applies toobstructive sleep apnea diagnosis88% confidence1 source
AnySleepapplies toobstructive sleep apnea diagnosis80% confidence1 source

obstructive sleep apnea diagnosis

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ResNet-50applies toobstructive sleep apnea diagnosis

88% confidence1 supporting mentions

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Sources 1

preprintarXivOct 20, 2026Deep learning-based multi-level airway collapse site localization on obstructive sleep apnea patients based on snoring sounds
deep learning models, specifically ResNet-50 and Audio Spectrogram Transformer (AST), to identify multi-level upper airway collapses in obstructive sleep apnea (OSA) patients