The effect of a deep-learning tool on dentists' performances in detecting apical radiolucencies on periapical radiographs.

Journal: Dento maxillo facial radiology
Published Date: Sep 1, 2022

Abstract

OBJECTIVES: To determine the efficacy of a deep-learning (DL) tool in assisting dentists in detecting apical radiolucencies on periapical radiographs.

Authors

  • Manal H Hamdan
    Department of General Dental Sciences, Marquette University School of Dentistry, Milwaukee, WI, United States.
  • Lyudmila Tuzova
    Denti.AI Technology Inc, Toronto, Canada.
  • AndrĂ© Mol
    Division of Diagnostic Sciences, Adams School of Dentistry, University of North Carolina, Chapel Hill, NC, United States.
  • Peter Z Tawil
    Division of Comprehensive Oral Health, Adams School of Dentistry, University of North Carolina, Chapel Hill, NC, United States.
  • Dmitry Tuzoff
    Denti.AI Technology Inc, Toronto, Canada.
  • Donald A Tyndall
    Division of Diagnostic Sciences, Adams School of Dentistry, University of North Carolina, Chapel Hill, NC, United States.

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