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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

You might also read

Related Articles

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

Sort by
Same author

Short-Term Outcomes of Full Pulpotomy Compared With Root Canal Treatment for Irreversible Pulpitis: The PROVE Study.

International endodontic journal·2026
Same author

The Role of Inflammasomes in Chronic Oral Inflammatory Disease and Oral Cancer: A Narrative Review.

Dentistry journal·2025
Same author

Clinical validation of a proposed diagnostic classification for pulpitis.

International endodontic journal·2025
Same author

Immunological isolation and characterization of neuronal progenitors from human dental pulp: A laboratory-based investigation.

International endodontic journal·2024
Same author

An international consensus study to identify "what" outcomes should be included in a core outcome set for endodontic treatments (COSET) for utilization in clinical practice and research.

International endodontic journal·2024
Same author

Effectiveness of full Pulpotomy compared with Root canal treatment in managing teeth with signs and symptOms indicative of irreversible pulpitis: a protocol for prospectiVE meta-analysis of individual participant data of linked randomised clinical trials (PROVE).

Trials·2023

Related Experiment Video

Updated: Jul 14, 2026

Precision of In Vivo Quantitative Tooth Wear Measurement Using Intra-Oral Scans
09:10

Precision of In Vivo Quantitative Tooth Wear Measurement Using Intra-Oral Scans

Published on: July 12, 2022

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review.

Laith Abu Qdais1,2, Richard Gault3, Jamie Toole1

  • 1School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.

International Endodontic Journal
|July 13, 2026
PubMed
Summary

Artificial intelligence models show promise for classifying caries depth in dental radiographs, especially for deep lesions. However, limited data and high bias risk necessitate larger, standardized studies for clinical use.

Keywords:
artificial intelligencedeep cariespulp exposureradiographsvital pulp therapy

More Related Videos

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Related Experiment Videos

Last Updated: Jul 14, 2026

Precision of In Vivo Quantitative Tooth Wear Measurement Using Intra-Oral Scans
09:10

Precision of In Vivo Quantitative Tooth Wear Measurement Using Intra-Oral Scans

Published on: July 12, 2022

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Area of Science:

  • Dental radiology
  • Artificial intelligence in dentistry
  • Diagnostic performance evaluation

Background:

  • Accurate caries depth assessment on intraoral radiographs is vital for treatment planning.
  • Artificial intelligence (AI) models are increasingly used for dental caries detection.
  • Evidence on AI for classifying caries depth specifically is limited.

Purpose of the Study:

  • To systematically review studies using AI for caries depth classification on permanent teeth radiographs.
  • To assess the diagnostic performance of these AI models.

Main Methods:

  • Searched PubMed, Scopus, EMBASE, MEDLINE, BASE (Jan 2016-Sept 2025).
  • Included studies applied AI to bitewing/periapical radiographs for caries depth classification.
  • Narrative synthesis due to heterogeneity; meta-analysis not performed. Risk of bias assessed using QUADAS-2 and QUADAS-C.

Main Results:

  • Fifteen studies included, mostly using bitewing radiographs and convolutional neural networks (e.g., U-Net, ResNet).
  • Models performed better on moderate-to-deep caries than early lesions.
  • High risk of bias in patient selection; no external validation reported.

Conclusions:

  • AI models show encouraging performance for classifying caries depth, particularly deep lesions.
  • Evidence is limited by small, single-center datasets, inconsistent standards, and high bias.
  • Future research needs larger, multicenter datasets, standardized criteria, and external validation for clinical translation.