AIMC Topic: Temporomandibular Joint Disc
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Automated pediatric TMJ articular disk identification and displacement classification in MRI with machine learning.
Journal of dentistry
Feb 13, 2025
OBJECTIVE: To evaluate the performance of an automated two-step model interpreting pediatric temporomandibular joint (TMJ) magnetic resonance imaging (MRI) using artificial intelligence (AI). Using deep learning techniques, the model first automatica...
Detecting the articular disk in magnetic resonance images of the temporomandibular joint using YOLO series.
Dental materials journal
Dec 28, 2024
The purpose of this study was to construct an artificial intelligence object detection model to detect the articular disk from temporomandibular joint (TMJ) magnetic resonance (MR) images using YOLO series. The study included two experiments using da...
Role of artificial intelligence in magnetic resonance imaging-based detection of temporomandibular joint disorder: a systematic review.
The British journal of oral & maxillofacial surgery
Dec 26, 2024
This systematic review aimed to evaluate the application of artificial intelligence (AI) in the identification of temporomandibular joint (TMJ) disc position in normal or temporomandibular joint disorder (TMD) individuals using magnetic resonance ima...
An Examination of Temporomandibular Joint Disc Displacement through Magnetic Resonance Imaging by Integrating Artificial Intelligence: Preliminary Findings.
Medicina (Kaunas, Lithuania)
Aug 26, 2024
This research was aimed at constructing a complete automated temporomandibular joint disc position identification system that could assist with magnetic resonance imaging disc displacement diagnosis on oblique sagittal and oblique coronal images. T...
Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images.
Oral surgery, oral medicine, oral pathology and oral radiology
Apr 14, 2023
OBJECTIVES: The objective was to evaluate the robustness of deep learning (DL)-based encoder-decoder convolutional neural networks (ED-CNNs) for segmenting temporomandibular joint (TMJ) articular disks using data sets acquired from 2 different 3.0-T ...
Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement.
Computer methods and programs in biomedicine
Mar 5, 2023
BACKGROUND AND OBJECTIVE: MRI is considered the gold standard for diagnosing anterior disc displacement (ADD), the most common temporomandibular joint (TMJ) disorder. However, even highly trained clinicians find it difficult to integrate the dynamic ...
Temporomandibular joint segmentation in MRI images using deep learning.
Journal of dentistry
Nov 8, 2022
OBJECTIVES: Temporomandibular joint (TMJ) internal derangements (ID) represent the most prevalent temporomandibular joint disorder (TMD) in the population and its diagnosis typically relies on magnetic resonance imaging (MRI). TMJ articular discs in ...
Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning.
Scientific reports
Jan 7, 2022
Temporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction of the masticatory muscles and temporomandibular joint. The most important subgroup of articular abnormalities in patients ...
Automatic detection of anteriorly displaced temporomandibular joint discs on magnetic resonance images using a deep learning algorithm.
Dento maxillo facial radiology
Nov 29, 2021
OBJECTIVES: This study aimed to develop models that can automatically detect anterior disc displacement (ADD) of the temporomandibular joint (TMJ) on MRIs before orthodontic treatment to reduce the risk of developing serious complications after treat...
Automatic segmentation of the temporomandibular joint disc on magnetic resonance images using a deep learning technique.
Dento maxillo facial radiology
Aug 4, 2021
OBJECTIVES: The aims of the present study were to construct a deep learning model for automatic segmentation of the temporomandibular joint (TMJ) disc on magnetic resonance (MR) images, and to evaluate the performances using the internal and external...
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