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Open access Jul 2026

Predicting gingival embrasure risk after invisible orthodontics using multimodal data and machine learning

A risk prediction model for post-clear aligner gingival embrasures was successfully developed and validated using multimodal oral data, with RF as the optimal algorithm that exhibits good discrimination, calibration, and clinical utility.

Haiyan Wang, Hanfei Shi, Liping Fan et al. · 0 citations