
This study aimed to predict the risk of surgical site infection (SSI) following lower third molar (L3M) surgery, which is poorly understood. This study identified factors affecting SSI risk, including distal space, depth, surgeon's experience, and simultaneous extraction of both L3M. The developed model achieved good predictive metrics, making SSI risk prediction more accessible for L3M surgery.
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