Artificial intelligence vs. semi-automated segmentation for assessment of dental periapical lesion volume index score: A cone-beam CT study.

Journal: Computers in biology and medicine
PMID: 38714047

Abstract

INTRODUCTION: Cone beam computed tomography periapical volume index (CBCTPAVI) is a categorisation tool to assess periapical lesion size in three-dimensions and predict treatment outcomes. This index was determined using a time-consuming semi-automatic segmentation technique. This study compared artificial intelligence (AI) with semi-automated segmentation to determine AI's ability to accurately determine CBCTPAVI score.

Authors

  • Matthew Boubaris
    School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.
  • Andrew Cameron
    School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.
  • Jane Manakil
    School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.
  • Roy George
    School of Medicine and Dentistry, Griffith University, Gold Coast, Australia. Electronic address: drroygeorge@gmail.com.

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