Prediction of pulp exposure before caries excavation using artificial intelligence: Deep learning-based image data versus standard dental radiographs.

Journal: Journal of dentistry
Published Date:

Abstract

OBJECTIVES: The objective was to examine the effect of giving Artificial Intelligence (AI)-based radiographic information versus standard radiographic and clinical information to dental students on their pulp exposure prediction ability.

Authors

  • Shaqayeq Ramezanzade
    Department of Cariology and Endodontics, Section for Clinical Oral Microbiology, Faculty of Health and Medical Sciences, Department of Odontology, University of Copenhagen, Copenhagen, Denmark.
  • Tudor Laurentiu Dascalu
    Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
  • Bulat Ibragimov
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, 94305, USA.
  • Azam Bakhshandeh
    Cariology and Endodontics, Section of Clinical Oral Microbiology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Lars Bjørndal
    Department of Cariology and Endodontics, Section for Clinical Oral Microbiology, Faculty of Health and Medical Sciences, Department of Odontology, University of Copenhagen, Copenhagen, Denmark.