Artificial intelligence for dental implant classification and peri-implant pathology identification in 2D radiographs: A systematic review.

Journal: Journal of dentistry
PMID:

Abstract

OBJECTIVE: This systematic review aimed to summarize and evaluate the available information regarding the performance of artificial intelligence on dental implant classification and peri-implant pathology identification in 2D radiographs.

Authors

  • M Bonfanti-Gris
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Complutense University of Madrid. Plaza Ramón y Cajal s/n - 28040 Madrid, España.
  • E Ruales
    Clinic of Masticatory Disorders and Dental Biomaterials, Center for Dental Medicine, University of Zurich. Plattenstrasse, 11, 8032, Zurich, Switzerland. Electronic address: edwinruales@gmail.com.
  • M P Salido
    Department of Conservative Dentistry and Prostheses, Complutense University of Madrid. Plaza Ramon y Cajal, s/n. 28040, Madrid, Spain. Electronic address: mpsalido@ucm.es.
  • F Martínez-Rus
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Complutense University of Madrid. Plaza Ramón y Cajal s/n - 28040 Madrid, España. Electronic address: framarti@ucm.es.
  • M Özcan
    Clinic of Masticatory Disorders and Dental Biomaterials, Center for Dental Medicine, University of Zurich. Plattenstrasse, 11, 8032, Zurich, Switzerland. Electronic address: mutlu.ozcan@zzm.uzh.ch.
  • G Pradíes
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Complutense University of Madrid. Plaza Ramón y Cajal s/n - 28040 Madrid, España.