Retrospective study shows deep learning can enhance clinical decision-making for root coverage procedures.
The model constructed in this study could accurately predict the results of root coverage procedures, thereby enhance clinicians' clinical decision-making and facilitate doctor-patient communication.
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Sun et al. (2025) studied this question.
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