Diagnostic value of a deep learning-based hyoid bone tracking model for aspiration in patients with post-stroke dysphagia.
Yeong Hwan RyuJi Hyun KimDohhyung KimSeo Young KimSeong Jae LeePublished in: Digital health (2024)
Hyoid bone movement of PSD patients can be measured quantitatively and efficiently using a deep learning model. Deep learning model-based analysis of hyoid bone movement seems to be useful for predicting aspiration risk and the possibility of resuming oral feeding.
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