Diagnostic Performance of Artificial Intelligence in Detecting Root Canal Filling in Panoramic and Periapical Radiographs: A Retrospective Study

IntroductIonEndodontic treatment aims to deliver superior care to maintain the tooth's functionality and prevent subsequent issues.Recent advancements in endodontic diagnosis and treatment options have significantly enhanced the success rate of endodontic care. 1 Root canal treatment is evaluated using clinical and radiographic examination.Clinical data should determine whether signs and symptoms of infection are present or not, and radiographic examination helps us to assess the filling in the root canal system. 2 Accurate diagnosis and treatment planning are essential for achieving optimal results.The availability of numerous diagnostic tools has enabled clinicians to perform diagnostic tests, make informed clinical decisions, and plan the best course of action for treating the root canal system. 3Integrating artificial intelligence (AI) into this process offers the potential to give a more objective and consistent examination. 4AI is the ability of machines to carry out tasks that are typically completed by humans. 5It can support ethical scientific writing as a supplemental means, not a substitute. 6t has been applied for detecting and classifying histopathology images of breast cancer, 7 improving surgical decision-making and