Endodontics
Retreatment Cases: Can We Predict Which Ones Will Heal?
Non-surgical retreatment outcomes are often unpredictable despite careful execution. This study evaluated AI-based models to predict healing after root canal retreatment and found that machine learning, particularly XGBoost, showed high accuracy in identifying cases at risk of failure. Key clinical factors such as preoperative lesions, tooth type, and restoration quality significantly influenced outcomes, suggesting that AI may help structure prognosis assessment before treatment begins.
Dr.Zainab Rangwala
6 Apr 2026 · 196k views