Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Tooth Anatomy

Tooth Anatomy

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...

You might also read

Related Articles

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

Sort by

Same author

Cell Membrane Vesicles Encapsulating Il24 mRNA With Enriched CD6 Display Exhibit Enhanced Targeted Antitumor Efficacy.

Journal of extracellular vesicles·2026

Same author

Masticatory function in growing individuals with hypohidrotic ectodermal dysplasia: A longitudinal study.

International journal of paediatric dentistry·2024

Same author

<i>TMEM119</i> (c.G143A, p.S48L) Mutation Is Involved in Primary Failure of Eruption by Attenuating Glycolysis-Mediated Osteogenesis.

International journal of molecular sciences·2024

Same author

A novel mutation in the collagen domain of EDA results in hypohidrotic ectodermal dysplasia by impacting the receptor-binding capability.

Molecular genetics & genomic medicine·2022

Same author

Enamel defects of Axenfeld-Rieger syndrome and the role of PITX2 in its pathogenesis.

Oral diseases·2022

Same author

Detection of novel variant and functional study in a Chinese family with nonsyndromic oligodontia.

Oral diseases·2022

Search research articles

Related Experiment Video

Updated: Jun 26, 2025

Author Spotlight: Enhancing Dental Pulp Research with Improved Mouse Models

Author Spotlight: Enhancing Dental Pulp Research with Improved Mouse Models

Published on: October 27, 2023

Deep learning-based detection of irreversible pulpitis in primary molars.

Tianyu Ma¹, Junxia Zhu¹, Dandan Wang¹

¹Department of Pediatric Dentistry, Peking University School and Hospital for Stomatology & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Digital Dentistry of Ministry of Health & Beijing Key Laboratory of Digital Stomatology & National Clinical Research Center for Oral Diseases, Beijing, China.

International Journal of Paediatric Dentistry

|May 10, 2024

Summary

A deep learning model using convolutional neural networks (CNNs) can detect irreversible pulpitis in primary molars from periapical radiographs. This AI approach offers a complementary tool for assessing pulp status in pediatric dentistry.

Keywords:

deep learning greyscale value periapical radiograph primary teeth pulp status

More Related Videos

Inducing Apical Periodontitis in Mice

Inducing Apical Periodontitis in Mice

Published on: August 6, 2019

Development of a Direct Pulp-capping Model for the Evaluation of Pulpal Wound Healing and Reparative Dentin Formation in Mice

Development of a Direct Pulp-capping Model for the Evaluation of Pulpal Wound Healing and Reparative Dentin Formation in Mice

Published on: January 12, 2017

Related Experiment Videos

Last Updated: Jun 26, 2025

Author Spotlight: Enhancing Dental Pulp Research with Improved Mouse Models

Author Spotlight: Enhancing Dental Pulp Research with Improved Mouse Models

Published on: October 27, 2023

Inducing Apical Periodontitis in Mice

Inducing Apical Periodontitis in Mice

Published on: August 6, 2019

Development of a Direct Pulp-capping Model for the Evaluation of Pulpal Wound Healing and Reparative Dentin Formation in Mice

Development of a Direct Pulp-capping Model for the Evaluation of Pulpal Wound Healing and Reparative Dentin Formation in Mice

Published on: January 12, 2017

Area of Science:

Dentistry
Artificial Intelligence
Medical Imaging

Background:

Subtle changes in dental pulp on radiographs are hard for experts to detect.
This limits the use of radiographs as a diagnostic aid for pulp conditions.

Purpose of the Study:

To assess if a convolutional neural network (CNN) image analysis technique can identify irreversible pulpitis in primary molars using periapical radiographs (PRs).

Main Methods:

A retrospective study used 348 periapical radiographs (PRs) from patients receiving indirect pulp therapy.
An EfficientNet CNN model was trained and validated on these PRs, then tested on an external dataset.
Performance was measured using accuracy, sensitivity, specificity, and F1 score.

Main Results:

The CNN model achieved 0.90 accuracy internally and 0.85 accuracy externally.
Higher mean greyscale values were observed in the irreversible pulpitis group compared to the healthy pulp group (p=0.013).

Conclusions:

A deep learning model effectively detects irreversible pulpitis in primary molars with deep caries on PRs.
This AI-driven method provides a practical, complementary tool for evaluating pulp status in pediatric patients.