Machine learning algorithms for predicting quality of life improvements after digital orthodontic treatment: a retrospective analysis

This study demonstrates that machine learning can accurately predict orthodontic treatment outcomes and enhance clinical decision-making. The developed predictive system provides a valuable tool for outcome prediction and identification of factors associated with treatment success, potentially transforming orthodontic practice by enabling data-driven, patient-specific care strategies that optimize treatment outcomes and patient satisfaction.