Artificial Intelligence in Gingival Recession Assessment and Treatment Planning: A Scoping Review

Background/Objectives: Artificial intelligence (AI) and machine learning (ML) are increasingly used in periodontal assessment, image analysis, outcome prediction, and clinical decision support. However, evidence specifically addressing gingival recession (GR) and related periodontal soft-tissue parameters remains fragmented and predominantly technical. This scoping review aimed to map AI/ML applications for the detection, measurement, prediction, and treatment planning of GR and to identify methodological limitations and translational evidence gaps.