AIMC Topic: Temporomandibular Joint Disorders
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A novel artificial neural network for the diagnosis of orofacial pain and temporomandibular disorders.
Journal of oral rehabilitation
Jun 30, 2022
BACKGROUND: Temporomandibular disorders (TMD) and orofacial pain are highly prevalent. This prevalence can be compared to that of leading non-communicable diseases (NCDs). However, it is surprising to still find a high degree of controversy regarding...
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 ...
Deep learning for osteoarthritis classification in temporomandibular joint.
Oral diseases
Nov 1, 2021
OBJECTIVES: This study aimed to develop a diagnostic support tool using pretrained models for classifying panoramic images of the temporomandibular joint (TMJ) into normal and osteoarthritis (OA) cases.
Risk factor assessments of temporomandibular disorders via machine learning.
Scientific reports
Oct 5, 2021
This study aimed to use artificial intelligence to determine whether biological and psychosocial factors, such as stress, socioeconomic status, and working conditions, were major risk factors for temporomandibular disorders (TMDs). Data were retrieve...
Development and Validation of a Magnetic Resonance Imaging-Based Machine Learning Model for TMJ Pathologies.
BioMed research international
Jul 5, 2021
The purpose of this study was to propose a machine learning model and assess its ability to classify TMJ pathologies on magnetic resonance (MR) images. This retrospective cohort study included 214 TMJs from 107 patients with TMJ signs and symptoms. A...
Building an Automated Orofacial Pain, Headache and Temporomandibular Disorder Diagnosis System.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Physicians collect data in patient encounters that they use to diagnose patients. This process can fail if the needed data is not collected or if physicians fail to interpret the data. Previous work in orofacial pain (OFP) has automated diagnosis fro...
Relation of vitamin D and BsmI variant with temporomandibular diseases in the Turkish population.
The British journal of oral & maxillofacial surgery
Aug 28, 2020
Vitamin D (VD) levels and several variants in the vitamin D receptor (VDR) gene are associated with the occurrence of diseases of the bones and cartilage. The aim of this research was to study and compare the association of the BsmI variant in the VD...
Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.
Scientific reports
May 15, 2020
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthrit...
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...
Minimally Invasive Approach for Diagnosing TMJ Osteoarthritis.
Journal of dental research
Jul 24, 2019
This study's objectives were to test correlations among groups of biomarkers that are associated with condylar morphology and to apply artificial intelligence to test shape analysis features in a neural network (NN) to stage condylar morphology in te...
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