Development of an artificial intelligence-based algorithm to classify images acquired with an intraoral scanner of individual molar teeth into three categories.

Journal: PloS one
PMID: 34995298

Abstract

BACKGROUND: Forensic dentistry identifies deceased individuals by comparing postmortem dental charts, oral-cavity pictures and dental X-ray images with antemortem records. However, conventional forensic dentistry methods are time-consuming and thus unable to rapidly identify large numbers of victims following a large-scale disaster.

Authors

  • Nozomi Eto
    Division of Interdisciplinary Dentistry, Graduate School of Dental Science, Kyushu University, Fukuoka, Japan.
  • Junichi Yamazoe
    Section of Geriatric Dentistry and Perioperative Medicine in Dentistry, Kyushu University Hospital, Fukuoka, Japan.
  • Akiko Tsuji
    Department of Forensic Pathology and Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Naohisa Wada
    Division of Interdisciplinary Dentistry, Graduate School of Dental Science, Kyushu University, Fukuoka, Japan.
  • Noriaki Ikeda
    Department of Forensic Pathology and Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

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