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Published on: February 23, 2024
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The Use of Artificial Intelligence in Endodontics
F C Setzer1, J Li2, A A Khan3
1Department of Endodontics, University of Pennsylvania, Philadelphia, PA, USA.
Journal of Dental Research
|June 1, 2024
Summary
Artificial intelligence (AI) offers crucial support for endodontics, enhancing diagnosis and treatment. This review explores AI
Area of Science:
- Dentistry
- Endodontics
- Artificial Intelligence in Medicine
Background:
- Endodontics diagnoses and treats diseases of the dental pulp and surrounding tissues.
- Clinical practice involves complex radiographic interpretation and treatment planning, often with variable outcomes.
- There is a need for advanced tools like artificial intelligence (AI) to improve diagnostic accuracy and treatment consistency in endodontics.
Purpose of the Study:
- To critically review recent advancements in artificial intelligence (AI) research for endodontic applications.
- To assess AI's potential in detecting endodontic pathologies and predicting treatment outcomes.
- To discuss the integration of AI into endodontic workflows, including future directions and challenges.
Main Methods:
- Literature review of recent studies on AI in endodontics.
- Analysis of AI applications in diagnosis, treatment planning, and outcome prediction.
- Evaluation of AI's benefits, limitations, and ethical considerations in endodontic practice.
Main Results:
- AI shows increasing application in endodontic research for pathology detection (lesions, fractures, resorptions) and treatment outcome prediction.
- AI offers benefits in automated image analysis, decision support, and treatment assistance.
- Despite progress, clinical application of AI in endodontics remains limited.
Conclusions:
- AI is poised to significantly impact endodontic workflows, education, and continuous learning.
- Addressing challenges in data sets, AI transparency, and ethical considerations is crucial for successful AI integration.
- Future directions include augmented reality and robotics in AI-assisted endodontics.
Keywords:
computer vision/convolutional neural networkscracked teethdecision makingdeep learning/machine learningdiagnostic systemstreatment planningMore Related Videos
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