AIMC Topic: Mandible

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Mandible segmentation from CT data for virtual surgical planning using an augmented two-stepped convolutional neural network.

International journal of computer assisted radiology and surgery Jan 13, 2023
PURPOSE: For computer-aided planning of facial bony surgery, the creation of high-resolution 3D-models of the bones by segmenting volume imaging data is a labor-intensive step, especially as metal dental inlays or implants cause severe artifacts that...
Humans Mandible Image Processing, Computer-Assisted Artifacts Neural Networks, Computer Tomography, X-Ray Computed
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Preliminary study of the accuracy and safety of robot-assisted mandibular distraction osteogenesis with electromagnetic navigation in hemifacial microsomia using rabbit models.

Scientific reports Nov 15, 2022
This study aimed to investigate the accuracy and safety of mandibular osteotomy and distraction device positioning in distraction osteogenesis assisted by an electromagnetic navigation surgical robot. Twelve New Zealand white rabbits were randomly di...
Goldenhar Syndrome Rabbits Electromagnetic Phenomena Imaging, Three-Dimensional Animals Mandible Osteogenesis, Distraction Robotics Surgery, Computer-Assisted
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Deep-learning-based automatic facial bone segmentation using a two-dimensional U-Net.

International journal of oral and maxillofacial surgery Oct 31, 2022
The use of deep learning (DL) in medical imaging is becoming increasingly widespread. Although DL has been used previously for the segmentation of facial bones in computed tomography (CT) images, there are few reports of segmentation involving multip...
Mandible Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning Head Tooth Humans
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Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography.

Scientific reports Oct 8, 2022
In this study, the accuracy of the positional relationship of the contact between the inferior alveolar canal and mandibular third molar was evaluated using deep learning. In contact analysis, we investigated the diagnostic performance of the presenc...
Deep Learning Molar, Third Mandible Molar Radiography, Panoramic Mandibular Nerve
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Feasibility of a Robot-Assisted Surgical Navigation System for Mandibular Distraction Osteogenesis in Hemifacial Microsomia: A Model Experiment.

The Journal of craniofacial surgery Sep 29, 2022
This study aimed to investigate the feasibility and accuracy of osteotomy and distractor placement using a robotic navigation system in a model surgical experiment of mandibular distraction osteogenesis for hemifacial microsomia. Imaging data from 5 ...
Feasibility Studies Facial Asymmetry Surgical Navigation Systems Goldenhar Syndrome Robotics Osteogenesis, Distraction Imaging, Three-Dimensional Mandible Humans
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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...
Malocclusion Adolescent Mandible Cephalometry Internet Software Young Adult Humans Artificial Intelligence
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Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks.

Journal of endodontics Aug 8, 2022
INTRODUCTION: Cone-beam computed tomography (CBCT) is an essential diagnostic tool in oral radiology. Radiolucent periapical lesions (PALs) represent the most frequent jaw lesions. However, the description, interpretation, and documentation of radiol...
Retrospective Studies Neural Networks, Computer Cone-Beam Computed Tomography Artificial Intelligence Periapical Diseases Mandible
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Construction of a new automatic grading system for jaw bone mineral density level based on deep learning using cone beam computed tomography.

Scientific reports Jul 27, 2022
To develop and verify an automatic classification method using artificial intelligence deep learning to determine the bone mineral density level of the implant site in oral implant surgery from radiographic data obtained from cone beam computed tomog...
Humans Artificial Intelligence Deep Learning Cone-Beam Computed Tomography Bone Density Mandible Dental Implants
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An Artificial Intelligence-Based Cosmesis Evaluation for Temporomandibular Joint Reconstruction.

The Laryngoscope Jun 3, 2022
OBJECTIVE: Management of the temporomandibular joint (TMJ) following condylar resection remains challenging in the field of mandibular reconstruction. A simple reconstruction of the TMJ with a contoured end of a fibular graft placed into the joint sp...
Temporomandibular Joint Mandibular Condyle Retrospective Studies Mandible Humans Artificial Intelligence
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Mandibular premolar identification system based on a deep learning model.

Journal of oral biosciences May 23, 2022
OBJECTIVES: For constructing an isolated tooth identification system using deep learning, Igarashi et al. (2021) began constructing a learning model as basic research to identify the left and right mandibular first and second premolars. These teeth w...
Neural Networks, Computer Artificial Intelligence Humans Bicuspid Deep Learning Mandible
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