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The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
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Updated: Jun 19, 2025

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
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Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks.

Seyed AmirHossein Ourang1, Fatemeh Sohrabniya2, Hossein Mohammad-Rahimi2

  • 1Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

International Endodontic Journal
|July 26, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers significant benefits for endodontics, particularly in interpreting dental radiographs. Bridging the knowledge gap in machine learning and deep learning is crucial for AI

Keywords:
artificial intelligencedeep learningendodonticsmachine learningneural networks

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Area of Science:

  • Dentistry
  • Artificial Intelligence
  • Radiology

Background:

  • Artificial intelligence (AI) is advancing healthcare, especially in image interpretation.
  • Endodontics can greatly benefit from AI in analyzing radiographic images.
  • A knowledge gap exists among endodontists regarding machine learning (ML) and deep learning (DL) fundamentals.

Purpose of the Study:

  • To explain ML and DL principles and neural network architectures.
  • To outline the AI solution development workflow from data collection to clinical integration.
  • To discuss AI applications in endodontic diagnosis and treatment.

Main Methods:

  • This narrative review elaborates on AI principles and applications.
  • It explains the process of developing and integrating AI solutions.
  • Specific AI tasks relevant to endodontics are discussed.

Main Results:

  • AI provides diverse applications in endodontics, including image analysis via computer vision.
  • Natural language processing can extract insights from textual data.
  • AI techniques can improve diagnosis, treatment planning, education, and patient care with validation.

Conclusions:

  • AI holds substantial potential to advance endodontic research, practice, and education.
  • Successful AI integration necessitates collaboration between clinicians, computer scientists, and industry.
  • An evolving partnership is key to realizing AI's full benefits in endodontics.