Machine Learning Algorithms Enhance the Accuracy of Radiographic Diagnosis of Dental Caries: A Comparative Study.

Journal: Dento maxillo facial radiology
Published Date:

Abstract

OBJECTIVES: This study evaluated the influence of cognitive aids, including machine learning (ML) algorithms and checklists, on the diagnostic accuracy and confidence of dental students in detecting dental caries on bitewing radiographs.

Authors

  • Shwetha Hegde
  • Jinlong Gao
  • Stephen Cox
    Associate Professor, Head of Discipline, Discipline of Oral Surgery, Sydney Dental School, University of Sydney, Australia.
  • Shanika Nanayakkara
    Sydney Dental School, Institute of Dental Research, Westmead Centre for Oral Health, University of Sydney, Sydney, New South Wales, Australia.
  • Rena Logothetis
    Applied Artificial Intelligence Institute, Deakin University, Melbourne, Australia.
  • Rajesh Vasa
    Applied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia.

Keywords

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