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

3
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...
3
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

3
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
3

You might also read

Related Articles

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

Sort by
Same author

Recommendations for the management of septic arthritis after ACL reconstruction.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA·2013
Same author

Poly(ADP-ribose) polymerase 1 promotes oxidative-stress-induced liver cell death via suppressing farnesoid X receptor α.

Molecular and cellular biology·2013
Same author

[Clinical significance of changes in T wave and ST segment amplitudes on electrocardiogram from supine to standing position among children with unexplained chest tightness or pain in resting stage].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics·2013
Same author

Biomimetic synthesis of equisetin and (+)-fusarisetin A.

Chemistry (Weinheim an der Bergstrasse, Germany)·2013
Same author

ERG Protein Expression Is of Limited Prognostic Value in Men with Localized Prostate Cancer.

ISRN urology·2013
Same author

Syphilis screening among 27,150 pregnant women in South Chinese rural areas using point-of-care tests.

PloS one·2013
Same journal

Impact of fixed orthodontic appliances on day-to-day life experiences among adolescents: a cross-sectional observational study.

BMC oral health·2026
Same journal

Dental image analysis and surgical decision support using modified generative adversarial networks.

BMC oral health·2026
Same journal

Evaluation of microtensile bond strength and failure type analysis of two different types of universal dental adhesives. In vitro study.

BMC oral health·2026
Same journal

Biomechanical effects of different carbon fiber-reinforced polyetheretherketone dental implants materials in edentulous maxilla: A 3D finite element study.

BMC oral health·2026
Same journal

Cleidocranial dysplasia with complex oral manifestations: a case report.

BMC oral health·2026
Same journal

Occult odontogenic infection as a possible trigger of post-streptococcal glomerulonephritis: a case report and scoping review highlighting a possible oral-systemic association.

BMC oral health·2026
See all related articles

Related Experiment Video

Updated: Jun 11, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

784

Pulp calcification identification on cone beam computed tomography: an artificial intelligence pilot study.

Li Ye1,2, Shangxuan Li3, Chichi Li3

  • 1Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University, Guangzhou, China.

BMC Oral Health
|September 28, 2024
PubMed
Summary
This summary is machine-generated.

A deep neural network (DNN) shows promise for identifying pulp calcification on cone beam computed tomography (CBCT) images. This artificial intelligence approach can improve diagnostic efficiency and assist in preoperative assessments for root canal treatments.

Keywords:
Artificial intelligenceCone beam computed tomographyDeep neural networkPulp calcification

More Related Videos

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research
07:29

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

681
Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

15.1K

Related Experiment Videos

Last Updated: Jun 11, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

784
Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research
07:29

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

681
Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

15.1K

Area of Science:

  • Dentistry
  • Radiology
  • Artificial Intelligence

Background:

  • Pulp calcification detection is crucial for root canal treatment planning.
  • Cone beam computed tomography (CBCT) is a common imaging modality in dentistry.
  • Automated identification of pulp calcification can enhance diagnostic efficiency.

Purpose of the Study:

  • To evaluate the effectiveness of a deep neural network (DNN) for automatic pulp calcification identification.
  • To assess the performance of a U-Net based DNN model on CBCT images.

Main Methods:

  • Retrospective analysis of 150 CBCT images.
  • Manual annotation of pulp calcification by experienced endodontists.
  • Development and validation of a U-Net DNN model using cross-validation.
  • Performance evaluation using sensitivity, specificity, accuracy, and AUC.

Main Results:

  • The DNN model achieved a sensitivity of 75.91%, specificity of 68.88%, accuracy of 72.78%, and AUC of 73.68%.
  • The model demonstrated "good" performance in sensitivity, accuracy, and AUC, and "fair" in specificity.
  • The results indicate the potential of AI in identifying pulp calcification.

Conclusions:

  • The proposed DNN method shows potential for identifying pulp calcification on CBCT images.
  • Further research will focus on expanding the dataset and refining the model for improved clinical applicability.
  • AI integration is expected to increase diagnostic efficiency and aid in preoperative case difficulty assessment for root canal treatments.