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Machine Learning Models for Early Gingival Health Screening Using Routine Clinical and Behavioral Data

This study addresses the high prevalence of periodontal disease in Indonesia by developing an accessible, early screening tool that overcomes the limitations of existing AI approaches, which heavily rely on costly radiographic imaging. We developed a machine learning framework utilizing demographic, clinical, behaviora...