AIMC Topic: Cephalometry
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Artificial intelligence system for automated landmark localization and analysis of cephalometry.
Dento maxillo facial radiology
Nov 16, 2022
OBJECTIVES: Cephalometric analysis is essential for diagnosis, treatment planning and outcome assessment of orthodontics and orthognathic surgery. Utilizing artificial intelligence (AI) to achieve automated landmark localization has proved feasible a...
DEEP LEARNING ALGORITHMS HAVE HIGH ACCURACY FOR AUTOMATED LANDMARK DETECTION ON 2D LATERAL CEPHALOGRAMS.
The journal of evidence-based dental practice
Oct 22, 2022
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, Demarco F, Krois J. Clin Oral Invest...
Comparison of AudaxCeph®'s fully automated cephalometric tracing technology to a semi-automated approach by human examiners.
International orthodontics
Sep 14, 2022
OBJECTIVE: To compare the reliability of cephalometric landmark identification by an automated tracing software based on convolutional neural networks to human tracers.
Automated analysis of three-dimensional CBCT images taken in natural head position that combines facial profile processing and multiple deep-learning models.
Computer methods and programs in biomedicine
Sep 9, 2022
BACKGROUND AND OBJECTIVES: Analyzing three-dimensional cone beam computed tomography (CBCT) images has become an indispensable procedure for diagnosis and treatment planning of orthodontic patients. Artificial intelligence, especially deep-learning t...
Automatic 3-Dimensional Cephalometric Landmarking via Deep Learning.
Journal of dental research
Aug 18, 2022
The increasing use of 3-dimensional (3D) imaging by orthodontists and maxillofacial surgeons to assess complex dentofacial deformities and plan orthognathic surgeries implies a critical need for 3D cephalometric analysis. Although promising methods w...
Comparison between cephalometric measurements using digital manual and web-based artificial intelligence cephalometric tracing software.
Dental press journal of orthodontics
Aug 15, 2022
OBJECTIVE: The aim of this study was to compare the measurements performed with digital manual (DM) cephalometric analysis and automatic cephalometric analysis obtained from an online artificial intelligence (AI) platform, according to different sagi...
Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett's analysis: can we trust a bot to do that?
Dento maxillo facial radiology
Aug 5, 2022
OBJECTIVE: To assess the reliability of CEFBOT, an artificial intelligence (AI)-based cephalometry software, for cephalometric landmark annotation and linear and angular measurements according to Arnett's analysis.
Convolutional neural network-based automatic cervical vertebral maturation classification method.
Dento maxillo facial radiology
Jul 5, 2022
OBJECTIVES: This study aimed to develop a fully automated artificial intelligence-aided cervical vertebral maturation (CVM) classification method based on convolutional neural networks (CNNs) to provide an auxiliary diagnosis for orthodontists.
Automation of Cephalometrics Using Machine Learning Methods.
Computational intelligence and neuroscience
Jun 21, 2022
Cephalometry is a medical test that can detect teeth, skeleton, or appearance problems. In this scenario, the patient's lateral radiograph of the face was utilised to construct a tracing from the tracing of lines on the lateral radiograph of the face...
Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review.
BioMed research international
Jun 16, 2022
Artificial intelligence (AI) is a branch of science concerned with developing programs and computers that can gather data, reason about it, and then translate it into intelligent actions. AI is a broad area that includes reasoning, typical linguistic...
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