Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Tooth Anatomy01:21

Tooth Anatomy

1.0K
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.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
1.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Retinal lesion annotation on fundus imaging: an interobserver variability study.

Scientific reports·2026
Same author

Automatic dental crown generation with spatial constraint modeling.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

DTG: Dual transformers-based generative adversarial networks for retinal 2D/3D OCT image classification.

Medical image analysis·2026
Same author

A comprehensive review of ICU readmission prediction models: From statistical methods to deep learning approaches.

Artificial intelligence in medicine·2025
Same author

Predicting mechanical properties of CFRP composites using data-driven models with comparative analysis.

PloS one·2025
Same author

Prolonged Impact of Bisphosphonates and Glucocorticoids on Bone Mechanical Properties.

Pharmaceuticals (Basel, Switzerland)·2025

Related Experiment Video

Updated: Sep 10, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.9K

Automatic margin line extraction using 3D deep learning on digital surface models of prepared teeth for crown

Ammar Alsheghri1, Ying Zhang2, Julia Keren3

  • 1Mechanical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, 31261, Kingdom of Saudi Arabia; Interdisciplinary Research Center for Biosystems and Machines, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, 31261, Kingdom of Saudi Arabia.

Computers in Biology and Medicine
|August 21, 2025
PubMed
Summary

This study introduces an AI-powered digital solution for automatic margin line creation in dental crown design, improving consistency and efficiency over manual methods. The artificial intelligence framework accurately extracts margin lines from 3D scans of prepared teeth.

Keywords:
3D deep learningArtificial intelligenceComputerized biomedical systemsFeature extractionPreparation margin line detectionTooth restoration design

More Related Videos

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.3K
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.6K

Related Experiment Videos

Last Updated: Sep 10, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.9K
Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.3K
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.6K

Area of Science:

  • Digital Dentistry
  • Artificial Intelligence in Healthcare
  • Biomedical Engineering

Background:

  • Manual margin line design in dental crowns is subjective and lacks repeatability.
  • Current digital methods for margin line creation can be time-consuming and inconsistent.
  • Accurate margin line definition is crucial for successful dental restorations.

Purpose of the Study:

  • To develop and validate a personalized digital solution for automatic and consistent margin line creation on prepared teeth.
  • To leverage supervised deep learning for accurate segmentation of prepared teeth in 3D scans.
  • To establish an end-to-end artificial intelligence framework for margin line extraction in dental crown design.

Main Methods:

  • Utilized supervised deep learning on a dataset of 1113 3D scanned prepared teeth.
  • Employed a majority voting classifier with 5-fold cross-validation to enhance segmentation performance.
  • Implemented a novel post-processing procedure for margin line correction and extraction, followed by comparison with ground truth margins.

Main Results:

  • The AI model successfully extracted margin lines in 70 out of 78 test cases within a 200 μm threshold and 62 within a 100 μm threshold.
  • The proposed post-processing procedure demonstrated superior accuracy (DSC = 0.986) compared to the traditional graph-cut technique (DSC = 0.974, p=0.024).
  • Achieved high accuracy and consistency in margin line segmentation, outperforming existing methods.

Conclusions:

  • The proposed end-to-end AI framework offers a consistent and time-efficient digital tool for automatic margin line extraction.
  • This artificial intelligence solution has the potential to significantly improve the workflow for dental crown design.
  • The technology provides a repeatable and accurate method for defining critical margins in digital dentistry.