Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs.

Journal: Clinical oral investigations
Published Date:

Abstract

OBJECTIVE: To evaluate the performance of a new artificial intelligence (AI)-driven tool for tooth detection and segmentation on panoramic radiographs.

Authors

  • André Ferreira Leite
    Department of Dentistry, Faculty of Health Sciences, University of Brasília, Brasília, 70910-900, Brazil.
  • Adriaan Van Gerven
    Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, Belgium.
  • Holger Willems
    Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, 3000, Belgium.
  • Thomas Beznik
    Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, Belgium.
  • Pierre Lahoud
    OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.
  • Hugo Gaêta-Araujo
    Department of Stomatology, Public Health and Forensic Dentistry, Division of Oral Radiology, School of Dentistry of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • Myrthel Vranckx
    OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, and Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, 3000 Leuven, Belgium.
  • Reinhilde Jacobs
    OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Department of Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 7, 3000, Leuven, Belgium; Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden. Electronic address: reinhilde.jacobs@ki.se.