Artificial Intelligence for Root Canal Orifice Identification Using Dental Operating Microscope Images: A Preliminary Evaluation.

Journal: Australian endodontic journal : the journal of the Australian Society of Endodontology Inc
Published Date: May 30, 2025

Abstract

To evaluate the diagnostic performance of artificial intelligence (AI) in detecting root canal orifices using images captured with a dental operating microscope (DOM). A total of 80 human maxillary first and second molars were included in the study. After preparing traditional access cavities, root canal orifices were identified under a dental operating microscope (DOM) at 21.25× magnification. Following orifice identification, video recordings were obtained using the DOM, from which a total of 1527 frames were randomly selected for analysis. The root canal orifices in these frames were manually labelled using CranioCatch labeling software (CranioCatch, Eskişehir, Turkey). In the binary classification task, the system correctly identified 502 out of 526 root canal orifices, yielding an accuracy of 91%. The YOLO-based CNN demonstrated high accuracy and sensitivity in detecting root canal orifices from DOM images.

Authors

  • E Karataş
    Department of Endodontics, Faculty of Dentistry, Atatürk University, Erzurum, Turkey.
  • O Ünal
    Department of Endodontics, Faculty of Dentistry, Atatürk University, Erzurum, Turkey.
  • O Celik
    Department of Mathematics-Computer, Eskisehir Osmangazi University Faculty of Science, Eskisehir, Turkey.
  • I S Bayrakdar
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskişehir, Turkey.

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