This study aimed at evaluating the precision of the segmented tooth model (STM) that was produced by the artificial intelligence (AI) program (CephX®) with an intraoral scan (IOS) and insignia outcomes. . 10 patients with Cl I malocclusion (mild-to-moderate crowding) who underwent nonextraction orthodontic therapy with the Insignia™ system had IOS and CBCT scans taken before treatment. AI was used to produce a total of 280 STMs; each tooth will be measured from three aspects (apexo-occlusal, mesiodistal, and labiolingual) for DICOM and STL formats. Also, root volume measurements for each tooth generated by using the CephX® software and Insignia™ system were compared. The software used for these measurements was the OnDemand3D program used for the multiplanar reconstruction for DICOM format and Geomagic® Control X™ used for STL format. . An intraclass correlation (ICC) analysis was used to check the agreement between the volume measurement of the segmented teeth generated by using the CephX® and Insignia™ system. Also, it was used to check the agreement between the STL (IOS), STL (CephX®), and DICOM tooth models. In addition, it was used to determine the intraexaminer repeatability by remeasuring five randomly selected individuals two weeks after the initial measurement. After confirmation of the data normality using the Shapiro-Wilk test, the right and left tooth models and the differences between the DICOM, CephX® (STL), and IOS (STL) tooth models were compared using a paired -test. The STL (IOS), STL (CephX®), and DICOM tooth models were compared utilizing the ANOVA test. < 0.05 was set as the statistical significance level. . Overall data showed good agreement with ICC. The measurements of the various tooth types on the right and left sides did not differ significantly. Also, there was no significant difference between the three groups. . The automatic AI approach (CephX®) may be advised in the clinical practice for patients with mild crowding and no teeth restorations due to its speed and effectiveness.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368498 | PMC |
| http://dx.doi.org/10.1155/2023/5933003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comparison of Debridement Efficacy of Two Irrigating Systems Endovac and Conventional Needle in Primary Tooth Root Canals: An Study.
Int J Clin Pediatr Dent
November 2024
Department of Pediatric and Preventive Dentistry, PDM Dental College and Research Institute, Bahadurgarh, Haryana, India.
Aim: The purpose of the study is to evaluate how well the Endovac system and conventional needle irrigation work to remove smear layers (SR) from primary teeth root canals.
Materials And Methods: Fifty extracted human primary teeth were divided into two equal sections vertically, then positioned within an acrylic model that was secured with screws. Group A (Endovac), = 25, and group B (traditional needle), = 25.
Tech Bytes-Harnessing Artificial Intelligence for Pediatric Oral Health: A Scoping Review.
Int J Clin Pediatr Dent
November 2024
Department of Pediatric and Preventive Dentistry, Yenepoya Dental College, Mangaluru, Karnataka, India.
Aim And Background: The applications of artificial intelligence (AI) are escalating in all frontiers, specifically healthcare. It constitutes the umbrella term for a number of technologies that enable machines to independently solve problems they have not been programmed to address. With its aid, patient management, diagnostics, treatment planning, and interventions can be significantly improved.
View Article and Find Full Text PDFIncidence of Gingival Recessions in Adolescent Orthodontic Patients Treated With Fixed Appliances and Lingual Retainer.
J Clin Periodontol
January 2025
Section of Orthodontics, Department of Dental Clinical Specialties, Complutense University of Madrid, Madrid, Spain.
Aim: To evaluate risk indicators for gingival recessions (GRs) in the lower anterior teeth of orthodontic patients post treatment and during a retention period of at least 5 years, compared to non-treated controls.
Material And Methods: Eighty-nine orthodontically treated patients who were recession-free before treatment were recruited. Demographic, cephalometric and occlusal records were retrieved before (T1) and after treatment (T2), and periodontal outcomes were clinically evaluated at least 5 years post retention (T3).
Early childhood caries risk prediction using machine learning approaches in Bangladesh.
BMC Oral Health
January 2025
Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.
Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.
Evaluation of mechanical and thermal stress in an endodontically treated cracked premolar with three restorative designs: 3D-finite element analysis.
J Prosthodont Res
January 2025
Center of Stomatology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
Purpose: We aimed to analyze the influence of different designs (inlay, onlay, and crown) on stress distribution and crack propagation in an endodontically treated cracked premolar.
Methods: Three-dimensional (3D) finite element analysis (FEA) was employed to model an endodontically treated cracked premolar with three different restorations (inlay, onlay, and crown). Six types of loadings (vertical loading of 600 N; hot thermal-600 N vertical coupling loading; cold thermal-600 N vertical coupling loading; oblique loading of 200 N; hot thermal-200 N oblique coupling loading; cold thermal-200 N oblique coupling loading) were applied to simulate the hot and cold food/beverages intake.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!