AIMC Topic: Temporomandibular Joint Disorders
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Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospective observational study.
BMC oral health
Jun 5, 2025
BACKGROUND: Temporomandibular disorders (TMDs) are frequently associated with posterior condylar displacement; however, early prediction of this displacement remains a significant challenge. Therefore, in this study, we aimed to develop and evaluate ...
Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology.
Tomography (Ann Arbor, Mich.)
Feb 27, 2025
BACKGROUND: Temporomandibular joint (TMJ) disorders are a significant cause of orofacial pain. Artificial intelligence (AI) has been successfully applied to other imaging modalities but remains underexplored in ultrasonographic evaluations of TMJ.
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...
Automated diagnosis and classification of temporomandibular joint degenerative disease via artificial intelligence using CBCT imaging.
Journal of dentistry
Jan 25, 2025
OBJECTIVES: In this study, artificial intelligence (AI) techniques were used to achieve automated diagnosis and classification of temporomandibular joint (TMJ) degenerative joint disease (DJD) on cone beam computed tomography (CBCT) images.
Artificial intelligence-enhanced diagnosis of degenerative joint disease using temporomandibular joint panoramic radiography and joint noise data.
Scientific reports
Jan 13, 2025
This study aimed to develop an artificial intelligence (AI) model for the screening of degenerative joint disease (DJD) using temporomandibular joint (TMJ) panoramic radiography and joint noise data. A total of 2631 TMJ panoramic images were collecte...
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...
Using machine learning to classify temporomandibular disorders: a proof of concept.
Journal of applied oral science : revista FOB
Nov 4, 2024
BACKGROUND: the escalating influx of patients with temporomandibular disorders and the challenges associated with accurate diagnosis by non-specialized dental practitioners underscore the integration of artificial intelligence into the diagnostic pro...
Temporomandibular joint CBCT image segmentation via multi-view ensemble learning network.
Medical & biological engineering & computing
Oct 28, 2024
Accurate segmentation of the temporomandibular joint (TMJ) from cone beam CT (CBCT) images holds significant clinical value for diagnosing temporomandibular joint osteoarthrosis (TMJOA) and related conditions. Convolutional neural network-based medic...
PAINe: An Artificial Intelligence-based Virtual Assistant to Aid in the Differentiation of Pain of Odontogenic versus Temporomandibular Origin.
Journal of endodontics
Sep 27, 2024
INTRODUCTION: Pain associated with temporomandibular dysfunction (TMD) is often confused with odontogenic pain, which is a challenge in endodontic diagnosis. Validated screening questionnaires can aid in the identification and differentiation of the ...
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