Results 61 to 70 of about 4,801 (212)

Accuracy and Repeatability of Computer Aided Cervical Vertebra Landmarking in Cephalogram

, 2012
The accuracy and repeatability of computer aided cervical vertebra landmarking (CACVL) were investigated in cephalogram. 120 adolescents (60 boys, 60 girls) aged from 9.1 to 17.2 years old were randomly selected. Twenty-seven landmarks from the second to
Lin, Jiuxiang, Xu, Xiangyang, Lan, Zhicong, Chen, Lili, Hu, Huaifei   +4 more
core   +1 more source

NASOLABIAL ANGLE: SEARCHING FOR A CONSENSUS AMONG ORTHODONTISTS, MAXILLOFACIAL SURGEONS AND PLASTIC SURGEON

Pakistan Armed Forces Medical Journal, 2019
Objective: To assess the level of consensus regarding nasolabial angle among Orthodontists, Maxillofacial surgeons and Plastic surgeons. Study Design: Cross sectional study.
Zahra Khalid, Maheen Khan, Rumeesha Zaheer, Ahmed Tanveer   +3 more
doaj  

Artificial Intelligence in Orthodontics: Part 1—Basic Concepts

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly being integrated into orthodontic research and clinical practice. This review paper consists of three parts and aims to establish a foundational understanding of AI concepts for readers from non‐technical backgrounds while familiarising them with its applications and challenges within the field of ...
Fatemeh Sohrabniya, Khuram Naveed, Hossein Mohammad‐Rahimi, Julian Woolley, Sara Haghighat, Peter Bangsgaard Stoustrup, Ruben Pauwels   +6 more
wiley   +1 more source

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source

Artificial Intelligence in Orthodontics: Part 3—Cautions, Limitations and Future Prospects

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly affecting orthodontic practice and research, yet its adoption requires a careful understanding of both its capabilities and its limitations. As the final part of a three‐section review, this paper focuses on the practical cautions and constraints that accompany current AI developments in ...
Fatemeh Sohrabniya, Julian Woolley, Khuram Naveed, Ruben Pauwels, Peter Bangsgaard Stoustrup, Hossein Mohammad‐Rahimi   +5 more
wiley   +1 more source

Computers and the Orthodontist

Australasian Orthodontic Journal, 1993
Dentofacial Planner Plus (DFP) is a computerised cephalometric program that enables rapid and accurate analysis of a cephalogram to aid in treatment planning.
Weekes William T.
doaj   +1 more source

Cephalometric Instruments and Cephalograms

The Journal of the Anthropological Institute of Great Britain and Ireland, 1901
n ...
openaire   +1 more source

Evaluation of Maxillary and Mandibular Transverse Dimensions on Digital Models and CBCT in Untreated Subjects With Normal Occlusion

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Objectives To evaluate the transverse dimension in adults with normal occlusion using cone‐beam computed tomography (CBCT) and digital models, and to establish norms for maxillo‐mandibular differentials. Material and Methods Twenty‐four untreated adults with normal occlusion were selected.
Leandra Garcia Jorge, Jedtanut Thussananutiyakul, Chenshuang Li, Jaime Guberman, Normand Boucher, Todd Welsh, Chun‐Hsi Chung   +6 more
wiley   +1 more source

Periodontal considerations during orthodontic intrusion and extrusion in healthy and reduced periodontium

Periodontology 2000, EarlyView.
Abstract In patients with advanced periodontal disease, pathological tooth migration may occur, which may require subsequent orthodontic treatment for both aesthetic and functional purposes. When planning orthodontic treatment mechanics, intrusive or extrusive forces are frequently indicated.
Gregory S. Antonarakis, Alkisti Zekeridou, Stavros Kiliaridis, Catherine Giannopoulou   +3 more
wiley   +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