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ARTIFICIAL INTELLIGENCE MODELS MAY MATCH THE ACCURACY OF MANUAL SEGMENTATION IN CBCT MEASUREMENTS.

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Shaping the Clinician II: Artificial Intelligence-Taught Endodontic Skills.

Nauman R Chatha1, Kisa Iqbal2, Fahad Zaman2

  • 1Boston University School of Dental Medicine/Boston VA Healthcare System, Boston, MA, USA.

Dental Clinics of North America
|October 17, 2025
PubMed
Summary

Artificial intelligence (AI) is revolutionizing endodontic education and practice by improving diagnostics and skills through tools like virtual reality. AI offers personalized learning and advanced simulations, enhancing dental professional training.

Keywords:
Artificial intelligenceClinical simulationDiagnostic accuracyEndodontic educationEthical considerationsMachine learning

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Area of Science:

  • Dentistry
  • Medical Education
  • Artificial Intelligence

Background:

  • Traditional endodontic training relies on lectures and limited practical experience.
  • There is a growing need for advanced educational tools in dentistry.
  • Artificial intelligence (AI) presents new opportunities for skill enhancement.

Purpose of the Study:

  • To explore the transformative impact of AI on endodontic education and clinical practice.
  • To highlight AI tools that enhance diagnostic accuracy, procedural skills, and personalized learning.
  • To contrast traditional methods with AI-driven approaches in dental training.

Main Methods:

  • Review of AI technologies including machine learning, neural networks, computer vision, virtual reality, and augmented reality.
  • Analysis of AI's role in diagnostic accuracy and procedural skill development.
  • Examination of AI-driven personalized learning and simulation in endodontics.
  • Discussion of case studies and pilot programs implementing AI in dental training.

Main Results:

  • AI tools significantly enhance diagnostic accuracy and procedural skills in endodontics.
  • AI facilitates personalized learning experiences and provides real-time feedback.
  • Immersive simulations using AI improve training effectiveness and standardization.
  • AI integration complements clinical expertise and offers new training paradigms.

Conclusions:

  • AI is revolutionizing endodontic education by offering advanced tools for training and practice.
  • AI-driven education enhances diagnostic capabilities and procedural proficiency for dental professionals.
  • Addressing ethical considerations and fostering collaboration are key to successful AI implementation in dentistry.