Article

RT2C: Predicting Time to New Dental Caries Using a Recurrent Neural Network Model Trained on Multi-Site Longitudinal Structured Dental Data

2025-09-05

Abstract excerpt

Dental caries remains one of the most prevalent chronic conditions globally, yet efforts to quantify a patient’s risk of developing new caries over time remain limited. Existing caries risk assessment (CRA) tools are widely used in clinical settings but typically rely on cross-sectional data, which may limit their predictive accuracy and generalizability across populations. To address these limitations, we develop...

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Literature Corpus work: 76b27ed7-7517-515d-9920-456f5c9e6395
DOI: 10.1101/2025.09.03.25334405

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