Results 91 to 100 of about 22,027,309 (173)

Neutrosophic-Based Cephalometric Analysis for Egyptian Population Using Novel Software [PDF]

Neutrosophic Sets and Systems
Cephalometric analysis is vital for orthodontic diagnosis, yet uncertainties in landmark identification, particularly for Egyptian patients, challenge accuracy. This study proposes the Neutrosophic Egyptian Cephalometric Analysis Software (N-ECA Software)
Nagham Ahmed Abdelmegeed, Amal F. Abdel-Gawad, Mohamed Alaa Fahmy El-Ghamry   +2 more
doaj  

Machine Learning Prediction of Anterior Open‐Bite Development After Stabilization Splint Treatment in Temporomandibular Disorder

Clinical and Experimental Dental Research, Volume 12, Issue 5, October 2026.
ABSTRACT Objectives To develop interpretable machine learning (ML) models for risk stratification of clinically meaningful anterior overbite decrease after stabilization splint therapy in temporomandibular disorder (TMD) patients, and to compare ML performance with conventional logistic regression.
Jae Joon Hwang, Hye‐Mi Jeon, Hye‐Min Ju, Sung‐Hee Jeong, Yong‐Woo Ahn, Soo‐Min Ok   +5 more
wiley   +1 more source

Cephalometric Evaluation of Children with Short Stature of Genetic Etiology: A Review

Children
Introduction: A plethora of biological molecules regulate chondrogenesis in the epiphyseal growth plate. Disruptions of the quantity and function of these molecules can manifest clinically as stature abnormalities of various etiologies.
George Paltoglou, Nickolas Ziakas, George P. Chrousos, Christos Yapijakis   +3 more
doaj   +1 more source

Machine Learning‐Based Model for Predicting Short‐ and Long‐Term Growth in Untreated Class III Malocclusion

Orthodontics &Craniofacial Research, Volume 29, Issue 5, Page 954-962, October 2026.
ABSTRACT Objective To develop a Machine Learning‐based model to predict growth of Caucasian subjects with untreated Class III malocclusion in the short‐ and long‐term. Materials and Methods A longitudinal sample of 144 Caucasian subjects with untreated Class III malocclusion was selected (80% training data; 20% test data).
Maria Denisa Statie, Michele Nieri, Valentina Rutili, Lorenzo Buffoni, Lorenzo Chicchi, Pietro Auconi, Veronica Giuntini, James A. McNamara, Lorenzo Franchi   +8 more
wiley   +1 more source

Association Between Facial Profile Attractiveness and Full‐Face Attractiveness in Individuals With Convex Facial Profiles

Orthodontics &Craniofacial Research, Volume 29, Issue 5, Page 937-944, October 2026.
ABSTRACT Objectives Facial attractiveness significantly influences social and personal outcomes, and therefore, interventions in orthodontics and maxillofacial surgery often aim at enhancing facial appearance. This study investigated the relationship between facial profile attractiveness and overall (frontal and profile) facial attractiveness to ...
Simos Psomiadis, Nikolaos Gkantidis, Ioannis Iatrou, Iosif Sifakakis   +3 more
wiley   +1 more source

McNamara Cephalometric Analysis oF Newars of Kathmandu

Orthodontic Journal of Nepal, 2018
Introduction: Standardized cephalogram is used for the orthodontic diagnosis and treatment planning and the measured values of the craniofacial structures are compared with the peer group having similar age, gender and ethnicity.
Resina Pradhan, Anjana Rajbhandari, Pushkar Manandhar, Surendra Maharjan   +3 more
doaj   +1 more source

Agreement Between WebCeph and Manual Cephalometric Analysis: Cleft and Non‐Cleft Patients Comparison: A Retrospective Method‐Comparison Study

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Cephalometric analysis is essential in orthodontic diagnosis, but landmark identification is particularly challenging in cleft lip and palate (CLP). Manual tracing remains, however, time‐consuming and operator‐dependent, the gold standard. AI‐based systems such as WebCeph may improve efficiency, though agreement with manual
Aylar Afshari, Zahra Mohandes, Shabnam Ajami   +2 more
wiley   +1 more source

Unesp Araraquara cephalometric analysis [PDF]

, 2005
O objetivo desse artigo é descrever a análise cefalométrica que vem sendo aplicada nos cursos de mestrado, doutorado e especialização da Faculdade de Odontologia de Araraquara - UNESP.
Barreto, Cristiana Silveira, Gandini Júnior, Luiz Gonzaga [UNESP], Sakima, Mauricio Tatsuei, Santos-Pinto, Ary dos [UNESP], Gandini Júnior, Luiz Gonzaga, Raveli, Dirceu Barnabé, Sakima, Tatsuko, Sakima,Tatsuko, Barreto,Cristiana Silveira, Martins, Lidia Parsekian, Santos-Pinto,Ary dos, Sakima, Tatsuko [UNESP], Santos-Pinto, Ary dos, Raveli,Dirceu Barnabé, Gonçalves,João Roberto, Gandini Jr.,Luiz G., Sakima,Maurício Tatsuei, Gonçalves, João Roberto [UNESP], Barreto, Cristiana Silveira [UNESP], Martins,Lidia Parsekian, Sakima, Mauricio Tatsuei [UNESP], Raveli, Dirceu Barnabé [UNESP], Gonçalves, João Roberto, Martins, Lidia Parsekian [UNESP]   +23 more
core   +1 more source

Comparison Between the Accuracy of Different AI-Based Cephalometric Analysis and Conventional Manual Analysis

Sulaimani Dental Journal
Objective: This study compared artificial intelligence-based cephalometric analysis platforms with conventional manual analysis using the Steiner Cephalometric analysis system.
Mohammed Mahmood, Adham Abdulrahman, Anwar Amin, Hadi Ismail   +3 more
doaj   +1 more source

Accuracy and Concordance of Orthodontic Cephalometric Analyses Using the CephNinja® Program Compared to the Traditional Method [PDF]

Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul
Background and Objective: Cephalometric analyses are an important tool for diagnosis and orthodontic treatment planning. Some cephalometric analysis programs cannot be used due to the high cost and inability to use all the facilities due to the sanctions.
A Hajian-Tilaki, N Kariminasab, K Hajian-Tilaki, D Maleki   +3 more
doaj