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The study evaluated the diagnostic performance of an artificial intelligence system to detect separated endodontic instruments on periapical radiograph radiographs. Three hundred seven periapical radiographs were collected and divided into 222 for training and 85 for testing to be fed to the Mask R‐CNN model. Periapical radiographs were assigned to the training and test set and labelled on the DentiAssist...