AIMC Topic: Cephalometry

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LOW CERTAINTY OF EVIDENCE SUPPORTS THE APPLICATION OF (AI) FOR THE AUTOMATIC DETECTION OF CEPHALOMETRIC LANDMARKS WITH PROSPECTS FOR IMPROVEMENTS.

The journal of evidence-based dental practice Dec 21, 2023
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis. J Digit Imaging. 2023 Jun;36(3):1158-1179. doi:10.1007/s10278-022-00766-w.
Anatomic Landmarks Humans Systematic Reviews as Topic Cephalometry Artificial Intelligence Meta-Analysis as Topic
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Facial profile evaluation and prediction of skeletal class II patients during camouflage extraction treatment: a pilot study.

Head & face medicine Dec 4, 2023
BACKGROUND: The evaluation of the facial profile of skeletal Class II patients with camouflage treatment is of great importance for patients and orthodontists. The aim of this study is to explore the key factors in evaluating the facial profile esthe...
Pilot Projects Cephalometry Malocclusion, Angle Class II Maxilla Humans Lip Esthetics, Dental Artificial Intelligence
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Automatic craniomaxillofacial landmarks detection in CT images of individuals with dentomaxillofacial deformities by a two-stage deep learning model.

BMC oral health Nov 17, 2023
BACKGROUND: Accurate cephalometric analysis plays a vital role in the diagnosis and subsequent surgical planning in orthognathic and orthodontics treatment. However, manual digitization of anatomical landmarks in computed tomography (CT) is subject t...
Humans Tomography, X-Ray Computed Radiography Cephalometry Deep Learning Image Processing, Computer-Assisted Bone and Bones
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Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression.

Scientific reports Nov 16, 2023
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsol...
Reproducibility of Results Neural Networks, Computer Radiography Female Humans Cephalometry X-Rays
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Orthodontic Implementation of Machine Learning Algorithms for Predicting Some Linear Dental Arch Measurements and Preventing Anterior Segment Malocclusion: A Prospective Study.

Medicina (Kaunas, Lithuania) Nov 9, 2023
: Orthodontics is a field that has seen significant advancements in recent years, with technology playing a crucial role in improving diagnosis and treatment planning. The study aimed to implement artificial intelligence to predict the arch width as ...
Humans Cephalometry Dental Arch Prospective Studies Malocclusion Adult Artificial Intelligence Machine Learning
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Commercial artificial intelligence lateral cephalometric analysis: part 2-effects of human examiners on artificial intelligence performance, a pilot study.

The Journal of clinical pediatric dentistry Nov 3, 2023
At the current technology level, a human examiner's review must be accompanied to compensate for the insufficient commercial artificial intelligence (AI) performance. This study aimed to investigate the effects of the human examiner's expertise on th...
Cephalometry Pilot Projects Radiography Artificial Intelligence Reproducibility of Results Humans
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Commercial artificial intelligence lateral cephalometric analysis: part 1-the possibility of replacing manual landmarking with artificial intelligence service.

The Journal of clinical pediatric dentistry Nov 3, 2023
Artificial intelligence (AI) technology has recently been introduced to dentistry. AI-assisted cephalometric analysis is one of its applications, and several commercial AI services have already been launched. However, the performance of these commerc...
Radiography Cephalometry Humans Artificial Intelligence Reproducibility of Results
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Cephalometric analysis performance discrepancy between orthodontists and an artificial intelligence model using lateral cephalometric radiographs.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Oct 26, 2023
PURPOSE: The purpose of the present clinical study was to compare the Ricketts and Steiner cephalometric analysis obtained by two experienced orthodontists and artificial intelligence (AI)-based software program and measure the orthodontist variabili...
Orthodontists Reproducibility of Results Cephalometry Humans Artificial Intelligence
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Assessment of landmark detection in cephalometric radiographs with different conditions of brightness and contrast using the an artificial intelligence software.

Dento maxillo facial radiology Oct 23, 2023
OBJECTIVES: To evaluate the reliability and reproducibility of an artificial intelligence (AI) software in identifying cephalometric points on lateral cephalometric radiographs considering four settings of brightness and contrast.
Reproducibility of Results Radiography Cephalometry Artificial Intelligence Software Humans
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Automatic identification of posteroanterior cephalometric landmarks using a novel deep learning algorithm: a comparative study with human experts.

Scientific reports Sep 19, 2023
This study aimed to propose a fully automatic posteroanterior (PA) cephalometric landmark identification model using deep learning algorithms and compare its accuracy and reliability with those of expert human examiners. In total, 1032 PA cephalometr...
Deep Learning Algorithms Humans Cephalometry Reproducibility of Results Artificial Intelligence
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