AIMC Topic: Temporomandibular Joint Disc
Clear Filters Showing 11 to 15 of 15 articles
Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging.
Scientific reports
Mar 23, 2021
The goal of this study was to develop a deep learning-based algorithm to predict temporomandibular joint (TMJ) disc perforation based on the findings of magnetic resonance imaging (MRI) and to validate its performance through comparison with previous...
Magnetic resonance image generation using enhanced TransUNet in temporomandibular disorder patients.
Dento maxillo facial radiology
Jul 1, 2025
OBJECTIVES: Temporomandibular disorder (TMD) patients experience a variety of clinical symptoms, and MRI is the most effective tool for diagnosing temporomandibular joint (TMJ) disc displacement. This study aimed to develop a transformer-based deep l...
Evaluation of temporomandibular joint disc displacement with MRI-based radiomics analysis.
Dento maxillo facial radiology
Jan 1, 2025
OBJECTIVES: The purpose of this study was to propose a machine learning model and assess its ability to classify temporomandibular joint (TMJ) disc displacements on MR T1-weighted and proton density-weighted images.
Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review.
Dento maxillo facial radiology
Jan 1, 2025
OBJECTIVES: To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonance imaging (MRI) images.
[Design and performance analysis of elastic temporomandibular joint structure of biomimetic masticatory robot].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Jun 25, 2020
Masticatory robots have a broad application prospect in the field of denture material tests and mandible rehabilitation. Mechanism type of temporomandibular joint structure is an important factor influencing the performance of the masticatory robot. ...
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