Prediction of caries risk in adults via supervised machine learning algorithm

Dental caries is a prevalent global health issue, requiring effective tools for early detection and prevention. Traditional methods of caries risk assessment rely on subjective clinical judgment, which can vary significantly among practitioners. Machine learning offers a promising solution by providing objective and reproducible predictions, potentially improving screening accuracy and facilitating early intervention.