Author

J. Hilgert

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Open access Sep 2026

Artificial intelligence for dysphagia screening: A machine learning approach

Early and reliable screening for oropharyngeal dysphagia symptoms in at-risk populations is a crucial first stage in effective management. This study aims to propose a machine learning model that can predict whether individuals are at risk of having confirmed dysphagia based on diagnostic accuracy. This was an explorat...

R. Rech, Carla Diniz Lopes Becker, Dieine Estela Bernieri Schiavon et al. · PLOS Digital Health · 0 citations

#explainable ai Review Open access Oct 2026

Machine Learning for Predicting Dental Caries Presence and Severity: An Age-Cohort Perspective from a Nationally Representative Survey in Brazil.

INTRODUCTION Although preventable, dental caries remains a global public health challenge due to its multifactorial nature and the deep influence of socio-structural determinants. This study evaluates the performance of Artificial Intelligence (AI) models as decision-support frameworks for population-level risk strati...

Jessye Melgarejo Do Amaral Giordani, Orlando Luiz Do Amaral, Maria Laura Braccini Fagundes et al. · Caries Research · 0 citations