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Related Concept Videos

Teeth01:15

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The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
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Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...
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Pure substances consist of only one type of matter. A pure substance can be an element or a compound. An element consists of only one type of atom, while a compound consists of two or more types of atoms held together by a chemical bond.
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The periodic table arranges atoms based on increasing atomic number so that elements with the same chemical properties recur periodically. When their electron configurations are added to the table, a periodic recurrence of similar electron configurations in the outer shells of these elements is observed. Because they are in the outer shells of an atom, valence electrons play the most important role in chemical reactions. The outer electrons have the highest energy of the electrons in an atom...
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Related Experiment Video

Updated: Feb 4, 2026

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
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AI-powered finite element analysis for predicting fracture patterns in endodontically treated teeth restored with

Divya Batra1, Priyatam Maruti Karade2, Chirag R Vaniya3

  • 1Department of Conservative dentistry and Endodontics, National Dental College and Hospital, Dera Bassi, Punjab, India.

Bioinformation
|February 2, 2026
PubMed
Summary

Artificial intelligence (AI) combined with finite element analysis (FEA) significantly improves fracture prediction in endodontically treated teeth (ETT). This AI-enhanced FEA model offers better accuracy for selecting optimal post systems for ETT restoration.

Keywords:
Artificial intelligenceendodontically treated teethfinite element analysisfracture patterns, post systemspredictive modeling and dental biomechanics

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Proximal Cadaveric Femur Preparation for Fracture Strength Testing and Quantitative CT-based Finite Element Analysis
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Area of Science:

  • Biomaterials Science
  • Computational Mechanics
  • Dental Materials

Background:

  • Endodontically treated teeth (ETT) exhibit reduced fracture resistance due to structural compromise.
  • Conventional finite element analysis (FEA) has limitations in accurately predicting fracture patterns in ETT.

Purpose of the Study:

  • To evaluate an artificial intelligence (AI)-enhanced FEA model for predicting fracture patterns in ETT restored with various post materials.
  • To compare the predictive accuracy of AI-enhanced FEA with conventional FEA.

Main Methods:

  • Trained an AI model on 500 prior FEA simulations.
  • Tested 120 maxillary premolars restored with fiberglass, carbon fiber, zirconia, and cast metal posts.
  • Validated the AI-powered FEA model against experimental fracture resistance outcomes.

Main Results:

  • AI-enhanced FEA demonstrated superior predictive accuracy (92.3%) compared to conventional FEA (76.8%).
  • The AI model closely correlated with actual fracture initiation sites (r = 0.91).
  • AI integration improved the prediction of fracture patterns in ETT.

Conclusions:

  • Integration of AI with FEA significantly enhances fracture prediction accuracy in ETT.
  • AI-powered FEA can guide clinicians in selecting optimal post systems for improved outcomes in ETT restoration.