Accuracy of artificial intelligence‐assisted growth prediction in skeletal Class I preadolescent patients using serial lateral cephalograms for a 2‐year growth interval [PDF]
Amy Larkin +8 more
openalex +1 more source
Background Artificial intelligence (AI) is revolutionizing cephalometric diagnosis in orthodontics, streamlining the patient assessments. This study aimed to assess the reliability, accuracy, and time consumption of artificial intelligence (AI)-based ...
Jean-Philippe Mercier +5 more
doaj +1 more source
Functional implications of minor mandibular asymmetry: clinical and digital research on a sample of healthy patients [PDF]
OBJECTIVE.The aim of the study is to evaluate the influence that the mandibular asymmetry could have towards the other components of the Stomathognatic system and to further related structures from a functional point of view. MATERIALS and METHODS.
Di Paolo, C. +4 more
core +1 more source
Evaluation of radiographic magnification in lateral cephalograms obtained with different X-ray devices: experimental study in human dry skull [PDF]
José Rino Neto +4 more
openalex +1 more source
MOESM1 of How common is ponticulus posticus on lateral cephalograms?
Jamal Giri +2 more
openalex +1 more source
Reliability of cervical vertebral maturation staging [PDF]
Burnside, Girvan +2 more
core +1 more source
Locating Anatomical Landmarks on 2D Lateral Cephalograms Through Adversarial Encoder-Decoder Networks [PDF]
Xiubin Dai +4 more
openalex +1 more source
Applying Machine-Learning Models on Lateral Cephalogram Parameters to Classify Skeletal Classes I and III Arab Orthodontic Patients, Instead of Individualized Parameters. [PDF]
Midlej K +7 more
europepmc +1 more source
Prevalence of Ponticulus Posticus among Orthodontic Patients of Iranian Population by Lateral Cephalogram. [PDF]
Bagherpour A +4 more
europepmc +1 more source

