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

Key Points

• The aim is to predict improvements in quality of life after digital orthodontic treatment using machine learning.
• Retrospective analysis of orthodontic treatment data
• Development of a machine learning predictive system
• Assessment of factors related to treatment success
• Machine learning accurately predicts treatment outcomes
• Identification of key factors associated with improved patient satisfaction
• Enhancement of clinical decision-making through data-driven insights

Abstract