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This study developed a machine learning-based screening test for sarcopenic dysphagia using image recognition of the anterior neck in older patients. The test demonstrated high prediction performance with an ROC-AUC of 0.877 and included 308 participants, revealing a significant prevalence of dysphagia in hospitalized older adults. The findings highlight the potential for a non-invasive screening method that minimizes the risk of droplet transmission, particularly relevant during the COVID-19 pandemic.

Author

Saminur Fauzan

Language

EN