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

Computed Tomography01:10

Computed Tomography

4.3K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.3K

You might also read

Related Articles

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

Sort by
Same author

Clinical Outcomes of Plasma-Assisted Saline Irrigation in Nonsurgical Root Canal Treatment: A Preliminary Retrospective Cohort Study.

Biomedicines·2026
Same author

Delayed-onset chronic mandibular osteomyelitis following Lemierre's syndrome: a case report.

Maxillofacial plastic and reconstructive surgery·2026
Same author

Feasibility of Artificial Intelligence-Processed Low-Dose Cone-Beam Computed Tomography in Dental Imaging.

Bioengineering (Basel, Switzerland)·2026
Same author

Structure-Property-Function Evaluation of a β-Type Ti-Nb-Zr Alloy for Dental Implant Applications with Short-Term Clinical Validation.

Journal of functional biomaterials·2026
Same author

Corrigendum to "Validation of 2D lateral cephalometric analysis using artificial intelligence-processed low-dose cone beam computed tomography" [Heliyon Volume 10, Issue 21, 15 November 2024, e39445].

Heliyon·2025
Same author

Pattern of first recurrence in advanced epithelial ovarian, fallopian tube and peritoneal cancers treated with cytoreductive surgery with or without hyperthermic intraperitoneal chemotherapy.

Journal of gynecologic oncology·2025

Related Experiment Video

Updated: Jun 6, 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

771

Validation of 2D lateral cephalometric analysis using artificial intelligence-processed low-dose cone beam computed

Eun-Ji Chung1, Byoung-Eun Yang2,3,4,5, Sam-Hee Kang1

  • 1Department of Conservative Dentistry, Hallym University Sacred Heart Hospital, Anyang, 14066, Republic of Korea.

Heliyon
|November 25, 2024
PubMed
Summary

Artificial intelligence-enhanced low-dose cone beam computed tomography (CBCT) provides accurate cephalometric measurements comparable to traditional methods. This AI-processed CBCT offers a promising, efficient approach for dentofacial diagnosis and treatment planning.

Keywords:
Artificial intelligence (AI)Cephalometric analysisCone beam computed tomography (CBCT)Dentofacial treatmentLow-dose CBCT

More Related Videos

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

2.6K
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

1.7K

Related Experiment Videos

Last Updated: Jun 6, 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

771
Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

2.6K
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

1.7K

Area of Science:

  • Dentistry
  • Radiology
  • Artificial Intelligence

Background:

  • Traditional cephalometric radiographs have limitations in accurately representing 3D craniofacial structures due to 2D projection, leading to potential assessment errors.
  • Cone beam computed tomography (CBCT) minimizes image distortion and overlap, offering clearer visualization of essential anatomical areas.
  • Artificial intelligence (AI) presents an opportunity to enhance low-dose CBCT images, potentially improving diagnostic quality.

Purpose of the Study:

  • To clinically validate AI-processed low-dose CBCT for generating 2D lateral cephalometric radiographs.
  • To compare AI-enhanced cephalometric radiographs with traditional 2D cephalograms and standard CBCT-derived cephalograms.

Main Methods:

  • Sixteen participants with prior CBCT and plain radiography were included.
  • Three groups of lateral cephalometric radiographs were analyzed: standard, standard CBCT-derived, and AI-processed low-dose CBCT-derived.
  • An AI-based cephalometric analysis platform was used to measure six angles and five lengths.

Main Results:

  • Most dentofacial measurements (angles and lengths) showed no significant differences across the three groups.
  • The nasion-menton measurement was the only parameter with significant variation among the groups.

Conclusions:

  • Low-dose CBCT processed with AI is an efficient method for cephalometric analysis in dentofacial treatment.
  • AI-enhanced low-dose CBCT imaging holds potential for various dental applications.
  • Further research is needed to optimize AI technologies for diverse clinical scenarios.