Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review.

Journal: Dento maxillo facial radiology
PMID: 39563454

Abstract

OBJECTIVES: To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonance imaging (MRI) images.

Authors

  • Mitul Manek
    School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
  • Ibraheem Maita
    School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
  • Diego Filipe Bezerra Silva
    Graduate Program in Dentistry, State University of Paraiba, Campina Grande, Brazil.
  • Daniela Pita de Melo
    College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
  • Paul W Major
  • Jacob L Jaremko
    Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
  • Fabiana T Almeida
    School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Canada. Electronic address: fabiana@ualberta.ca.

Keywords

External Resources

Popular Topics
Recent Journals