Artificial Intelligence in Endodontic Education.

Journal: Journal of endodontics
PMID: 38387793

Abstract

AIMS: The future dental and endodontic education must adapt to the current digitalized healthcare system in a hyper-connected world. The purpose of this scoping review was to investigate the ways an endodontic education curriculum could benefit from the implementation of artificial intelligence (AI) and overcome the limitations of this technology in the delivery of healthcare to patients.

Authors

  • Anita Aminoshariae
    Department of Endodontics, Case School of Dental Medicine, Cleveland, Ohio. Electronic address: Axa53@case.edu.
  • Ali Nosrat
    Division of Endodontics, Department of Advanced Oral Sciences and Therapeutics, University of Maryland, School of Dentistry, Baltimore, Maryland; Private Practice, Centreville Endodontics, Centreville, Virginia. Electronic address: Nosrat@umaryland.edu.
  • Venkateshbabu Nagendrababu
    Department of Endodontics, School of Dentistry, International Medical University, Kuala Lumpur, Malaysia.
  • Omid Dianat
    Division of Endodontics, Department of Advanced Oral Sciences and Therapeutics, University of Maryland, School of Dentistry, Baltimore, Maryland; Private Practice, Centreville Endodontics, Centreville, Virginia.
  • Hossein Mohammad-Rahimi
    Division of Artificial Intelligence Imaging Research, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.
  • Abbey W O'Keefe
    Case School of Dental Medicine, Cleveland, Ohio, USA.
  • Frank C Setzer
    Department of Endodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: fsetzer@upenn.edu.

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