Artificial intelligence (ai) for detection and localization of unobturated second mesial buccal (mb2) canals in cone-beam computed tomography (cbct)

HIGHLIGHTS

  • who: Lina Albitar et al. from the School of Dental Medicine, Stony Brook University, Stony Brook, NY, USA have published the research work: Artificial Intelligence (AI) for Detection and Localization of Unobturated Second Mesial Buccal (MB2) Canals in Cone-Beam Computed Tomography (CBCT), in the Journal: Diagnostics 2022, 3214 of 18/Dec/2022
  • what: The aim of this study was to develop a deep learning model to automatically detect and segment unobturated mesial buccal 2 (MB2) canals on endodontically obturated maxillary molars depicted in studies.

SUMMARY

    The success rate of endodontic . . .

     

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