Results 231 to 240 of about 41,570 (260)
Orthodontics &Craniofacial Research, Volume 28, Issue 6, Page 943-954, December 2025.ABSTRACT Objective The study aims to evaluate the effectiveness of deep learning algorithms in skeletal age estimation by comparing the diagnostic reliability of five different hand‐wrist maturation (HWM) assessment methods. Materials and Methods A total of 6572 hand‐wrist radiographs from orthodontic patients aged 8–16 years were retrospectively ...
Serhat Tentaş, Samet Özden
wiley +1 more source
An Artificial Intelligence System for Staging the Spheno‐Occipital Synchondrosis
Orthodontics &Craniofacial Research, Volume 28, Issue 6, Page 998-1007, December 2025.ABSTRACT Objective The aim of this study was to develop, test and validate automated interpretable deep learning algorithms for the assessment and classification of the spheno‐occipital synchondrosis (SOS) fusion stages from a cone beam computed tomography (CBCT).
Omid Halimi Milani +8 more
wiley +1 more source
Orthodontics &Craniofacial Research, Volume 28, Issue 6, Page 1070-1081, December 2025.ABSTRACT Objectives This study aimed to establish a clustering‐based classification model for skeletal expansion outcomes after miniscrew‐assisted rapid maxillary expansion (MARPE) and evaluate its clinical implications. Material and Methods The study samples comprised 61 patients with transverse discrepancy who underwent maxillary skeletal expansion ...
Gwan‐Hyeong Song +4 more
wiley +1 more source
The relation of the vertebral artery to the cervical vertebrae
, 1950 Richard H. Bell +2 more
openalex +1 more source
The venous drainage of the cervical vertebrae of the ox (Bos taurus L.)
, 2016 openalex +1 more source