AIMC Topic: Mandible

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Use of artificial intelligence to recover mandibular morphology after disease.

Scientific reports Oct 2, 2020
Mandibular tumors and radical oral cancer surgery often cause bone dysmorphia and defects. Most patients present with noticeable mandibular deformations, and doctors often have difficulty determining their exact mandibular morphology. In this study, ...
Female Male Mandible Disease Humans Artificial Intelligence Tomography, X-Ray Computed
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Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning.

Frontiers in endocrinology Jul 29, 2020
Facial changes are common among nearly all acromegalic patients. As they develop slowly, patients often fail to notice such changes before they become obvious. Consequently, diagnosis and treatment are often delayed. So far, convenient and accurate ...
Nose Male Imaging, Three-Dimensional Machine Learning Mandible Humans Female Face Discriminant Analysis Cross-Sectional Studies Acromegaly Early Diagnosis
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Comparing the Bone Healing After Cold Ablation Robot-Guided Er:YAG Laser Osteotomy and Piezoelectric Osteotomy-A Pilot Study in a Minipig Mandible.

Lasers in surgery and medicine Jun 11, 2020
BACKGROUND AND OBJECTIVE: To take major advantage of erbium-doped yttrium aluminium garnet (Er:YAG) lasers in osteotomy-like freedom of cutting geometries and high accuracy-the integration and miniaturization of the robot, laser, and navigation techn...
Lasers, Solid-State Laser Therapy Swine, Miniature Mandible Robotics Swine Osteotomy Female Pilot Projects Animals
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Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis.

Scientific reports May 5, 2020
We developed an automatic method for staging periodontitis on dental panoramic radiographs using the deep learning hybrid method. A novel hybrid framework was proposed to automatically detect and classify the periodontal bone loss of each individual ...
Humans Algorithms Pattern Recognition, Automated Reproducibility of Results Maxilla Mandible Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Alveolar Bone Loss Deep Learning Periodontitis
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Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes.

Scientific reports Apr 3, 2020
Accurate localisation of mandibular canals in lower jaws is important in dental implantology, in which the implant position and dimensions are currently determined manually from 3D CT images by medical experts to avoid damaging the mandibular nerve i...
Cone-Beam Computed Tomography Imaging, Three-Dimensional Mandible Humans Deep Learning
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Automatic mandibular canal detection using a deep convolutional neural network.

Scientific reports Mar 31, 2020
The practicability of deep learning techniques has been demonstrated by their successful implementation in varied fields, including diagnostic imaging for clinicians. In accordance with the increasing demands in the healthcare industry, techniques fo...
Deep Learning Adolescent Cone-Beam Computed Tomography Adult Male Middle Aged Mandibular Nerve Patient Care Planning Imaging, Three-Dimensional Mandible Temporomandibular Joint Disorders Humans Neural Networks, Computer Female Aged Aged, 80 and over Young Adult
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Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network.

Physics in medicine and biology Sep 5, 2019
Segmentation of mandibular bone in CT scans is crucial for 3D virtual surgical planning of craniofacial tumor resection and free flap reconstruction of the resection defect, in order to obtain a detailed surface representation of the bones. A major d...
Neural Networks, Computer Tomography, X-Ray Computed Humans Imaging, Three-Dimensional Mandible
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Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 6, 2019
OBJECTIVE: The aim of this study was to investigate whether a deep learning object detection technique can automatically detect and classify radiolucent lesions in the mandible on panoramic radiographs.
Mandible Radiography, Panoramic Odontogenic Cysts Ameloblastoma Humans Deep Learning
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A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography.

Dento maxillo facial radiology Nov 9, 2018
OBJECTIVES:: The distal root of the mandibular first molar occasionally has an extra root, which can directly affect the outcome of endodontic therapy. In this study, we examined the diagnostic performance of a deep learning system for classification...
Artificial Intelligence Retrospective Studies Female Humans Tooth Root Mandible Young Adult Adolescent Middle Aged Radiography, Panoramic Adult Cone-Beam Computed Tomography Dental Pulp Cavity Molar Male
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Deep Geodesic Learning for Segmentation and Anatomical Landmarking.

IEEE transactions on medical imaging Oct 12, 2018
In this paper, we propose a novel deep learning framework for anatomy segmentation and automatic landmarking. Specifically, we focus on the challenging problem of mandible segmentation from cone-beam computed tomography (CBCT) scans and identificatio...
Image Interpretation, Computer-Assisted Young Adult Deep Learning Humans Cone-Beam Computed Tomography Craniofacial Abnormalities Adult Adolescent Algorithms Mandible Male Child Female Anatomic Landmarks
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