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Artificial Intelligence in Endodontic Education.

Anita Aminoshariae1, Ali Nosrat2, Venkateshbabu Nagendrababu3

  • 1Case School of Dental Medicine, Cleveland, Ohio, USA.

Journal of Endodontics
|February 22, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance endodontic education by aiding in diagnosis, treatment planning, and personalized learning. Educators must integrate AI while addressing its limitations for improved dental training.

Keywords:
Artificial intelligence (AI)educationendodonticshealthcarepedagogy

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Area of Science:

  • Dental Education
  • Artificial Intelligence in Medicine
  • Endodontics

Background:

  • The digital healthcare landscape necessitates evolving dental and endodontic education.
  • Current curricula must adapt to a hyper-connected world and technological advancements.

Purpose of the Study:

  • To conduct a scoping review on integrating artificial intelligence (AI) into endodontic education.
  • To identify benefits and limitations of AI implementation in dental training.

Main Methods:

  • Comprehensive electronic literature search up to December 2023 (MEDLINE, Web of Science, Cochrane Library).
  • Included manual searches of reference literature and grey literature, including clinical trials.

Main Results:

  • 35 relevant records identified from 251 initial records concerning AI and endodontic education.
  • AI applications identified include radiographic interpretation, differential diagnosis, treatment planning, preclinical training, simulation, real-time guidance, and personalized progress evaluation.

Conclusions:

  • AI offers significant potential to support endodontic teaching through individualized feedback, advanced training aids, automated diagnostics, and decision support.
  • Implementation of AI in endodontics education will transform teaching methodologies, requiring educators to address technological challenges.