AIMC Topic: Mandible

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Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer.

The British journal of radiology Mar 18, 2021
OBJECTIVES: Mandible osteoradionecrosis (ORN) is one of the most severe toxicities in patients with head and neck cancer (HNC) undergoing radiotherapy (RT). The existing literature focuses on the correlation of mandible ORN and clinical and dosimetri...
Reproducibility of Results Sensitivity and Specificity Male Machine Learning Tomography, X-Ray Computed Female Head and Neck Neoplasms Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Osteoradionecrosis Middle Aged Incidence Mandible
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Deep learning based prediction of extraction difficulty for mandibular third molars.

Scientific reports Jan 21, 2021
This paper proposes a convolutional neural network (CNN)-based deep learning model for predicting the difficulty of extracting a mandibular third molar using a panoramic radiographic image. The applied dataset includes a total of 1053 mandibular thir...
Mandible Tooth Extraction Humans Deep Learning Molar, Third
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Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach.

International journal of legal medicine Jan 7, 2021
CONTEXT: Dental age, one of the indicators of biological age, is inferred by radiological methods. Two of the most commonly used methods are using Demirjian's radiographic stages of permanent teeth excluding the third molar (Demirjian's and Willems' ...
Machine Learning Algorithms Female Humans Child, Preschool Child Molar, Third Mandible Young Adult Male Adolescent Dentition, Permanent Radiography, Panoramic France Age Determination by Teeth
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Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs.

Dento maxillo facial radiology Jan 6, 2021
OBJECTIVE: The aim of this study was to evaluate the use of a convolutional neural network (CNN) system for predicting C-shaped canals in mandibular second molars on panoramic radiographs.
Dental Pulp Cavity Cone-Beam Computed Tomography Mandible Tooth Root Humans Deep Learning Radiography, Panoramic Molar
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Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible.

Scientific reports Oct 28, 2020
Marginal bone loss (MBL) is one of the leading causes of dental implant failure. This study aimed to investigate the feasibility of machine learning (ML) algorithms based on trabeculae microstructure parameters to predict the occurrence of severe MBL...
Humans Neural Networks, Computer Prosthesis Failure Female Cancellous Bone Male Cross-Sectional Studies Logistic Models Bone Resorption Support Vector Machine Case-Control Studies Dental Implants Mandible
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Individual mandibular movement registration and reproduction using an optoeletronic jaw movement analyzer and a dedicated robot: a dental technique.

BMC oral health Oct 7, 2020
BACKGROUND: Fully adjustable articulators and pantographs record and reproduce individual mandibular movements. Although these instruments are accurate, they are operator-dependant and time-consuming. Pantographic recording is affected by inter and i...
Jaw Relation Record Dental Articulators Reproduction Movement Mandible Robotics
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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, ...
Male Mandible Disease Artificial Intelligence Tomography, X-Ray Computed Female Humans
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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 ...
Mandible Discriminant Analysis Cross-Sectional Studies Face Humans Early Diagnosis Male Acromegaly Machine Learning Imaging, Three-Dimensional Nose Female
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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...
Laser Therapy Swine, Miniature Robotics Osteotomy Lasers, Solid-State Female Swine Animals Pilot Projects Mandible
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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 ...
Diagnosis, Computer-Assisted Deep Learning Maxilla Mandible Humans Image Processing, Computer-Assisted Alveolar Bone Loss Periodontitis Algorithms Pattern Recognition, Automated Reproducibility of Results
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