Application of artificial intelligence in orthodontics: current state and future perspectives

J Liu, C Zhang, Z Shan - Healthcare, 2023 - mdpi.com
In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …

The future of orthodontics: deep learning technologies

A Surendran, P Daigavane, S Shrivastav, R Kamble… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Deep learning has emerged as a revolutionary technical advancement in modern
orthodontics, offering novel methods for diagnosis, treatment planning, and outcome …

[HTML][HTML] Acta Plane—A New Reference for Virtual Orientation of Cone Beam Computed Tomography Scans: A Pilot Study

F Sanders-Mello, LM de Menezes, UT Puetter… - Applied Sciences, 2023 - mdpi.com
Introduction: Cone Beam Computed Tomography (CBCT) scans should be digitally oriented
using a reference plane before being evaluated for patient growth and treatment outcome …

Can artificial intelligence-driven cephalometric analysis replace manual tracing? A systematic review and meta-analysis

J Hendrickx, RS Gracea, M Vanheers… - European Journal of …, 2024 - academic.oup.com
Objectives This systematic review and meta-analysis aimed to investigate the accuracy and
efficiency of artificial intelligence (AI)-driven automated landmark detection for cephalometric …

Image-based multi-omics analysis for oral science: recent progress and perspectives

Y Chen, P Du, Y Zhang, X Guo, Y Song, J Wang… - Journal of Dentistry, 2024 - Elsevier
Objectives The diagnosis and treatment of oral and dental diseases rely heavily on various
types of medical imaging. Deep learning-mediated multi-omics analysis can extract more …

[HTML][HTML] The Accuracy of Algorithms Used by Artificial Intelligence in Cephalometric Points Detection: A Systematic Review

J Ribas-Sabartés, M Sánchez-Molins, NG d'Oliveira - Bioengineering, 2024 - mdpi.com
The use of artificial intelligence in orthodontics is emerging as a tool for localizing
cephalometric points in two-dimensional X-rays. AI systems are being evaluated for their …

[HTML][HTML] A Comparative Study of Deep Learning and Manual Methods for Identifying Anatomical Landmarks through Cephalometry and Cone-Beam Computed …

Y Lee, JH Pyeon, SH Han, NJ Kim, WJ Park, JB Park - Applied Sciences, 2024 - mdpi.com
Background: Researchers have noted that the advent of artificial intelligence (AI) heralds a
promising era, with potential to significantly enhance diagnostic and predictive abilities in …

Reliability and accuracy of Artificial intelligence-based software for cephalometric diagnosis. A diagnostic study

JP Mercier, C Rossi, IN Sanchez, ID Renovales… - BMC Oral Health, 2024 - Springer
Artificial intelligence (AI) is revolutionizing cephalometric diagnosis in orthodontics,
streamlining the patient assessments. This study aimed to assess the reliability, accuracy …

Assessing AudaxCeph®'s cephalometric tracing technology versus a semi-automated approach for analyzing severe Class II and Class III skeletons

K O'Friel, A Chapple, R Ballard, P Armbruster - International Orthodontics, 2024 - Elsevier
Objective To evaluate the accuracy and precision of the AudaxCeph® fully automated
software in identifying cephalometric landmarks on lateral cephalograms of Class II and …

[HTML][HTML] Accuracy of automated analysis in cephalometry

R Bagdy-Bálint, G Szabó, ÖH Zováthi… - Journal of Dental …, 2024 - Elsevier
Background/purpose Artificial intelligence (AI) has been widely used in medicine, including
orthodontics. The aim of this study was to investigate the training process of a cascaded …