A predictive model for significant periodontal disease progression: A large-scale cohort study

A machine learning model using real-world clinical data can effectively predict significant periodontal disease progression. The findings confirm that a patient's initial disease severity, smoking status, age, and diabetes are the most critical determinants of future risk, highlighting the model's potential utility in personalizing periodontal care.