Multi-class segmentation of temporomandibular joint using ensemble deep learning
Temporomandibular joint disorders are prevalent causes of orofacial discomfort. Diagnosis predominantly relies on assessing the configuration and positions of temporomandibular joint components in magnetic resonance images.
Kyubaek Yoon +5 more
doaj +1 more source
Subzygomatic Trans-Sigmoid Projection for Condyle & Temporomandibular Joint
A simple and precise technique of producing a good radiograph of the condyle and temporomandibular joint is presented. The Authors have found subzygomatic trans-sigmoid projection very satisfactory.
D. Venkat Ratnam +3 more
doaj +1 more source
Temporomandibular joint disorder and gross motor function in children with cerebral palsy
Abstract Aim To determine the prevalence of the clinical signs and symptoms of temporomandibular joint (TMJ) disorder (TMD) in children with cerebral palsy (CP) and to examine their associations with severity of gross motor impairment, CP subtype, and caregiver‐reported bruxism. Method This cross‐sectional study included 517 children with CP (mean age =
Özge Baykan Çopuroğlu +2 more
wiley +1 more source
Introduction: Anterior implant placement is always challenging, especially when it is caused by trauma. Treatment preference is not only because of bone sufficiency but also aesthetic considerations.
Vita Mulya Passa Novianti +3 more
doaj +1 more source
Prevalence of temporomandibular dysfunction in children and adolescents
OBJECTIVE: To review the prevalence of temporomandibular disorders (TMD) in children and adolescents, verifying the methodological variations. DATA SOURCES: Research conducted in Medline, PubMed, Lilacs and BBO databases, including manuscripts ...
Marina Fernandes de Sena +4 more
doaj +1 more source
Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images. [PDF]
In this study, an integrated deep learning approach was developed for the evaluation of temporomandibular joint disorders using multicentre CBCT images. The mandibular condyle was first automatically segmented using the nnU‐Net v2 architecture. Subsequently, 3D‐CNN algorithms classified the condyles as healthy or unhealthy and further distinguished ...
Bayrakdar İŞ +5 more
europepmc +2 more sources
Efeito antinociceptivo do eugenol em um modelo de dor muscular orofacial em camundongos: participação dos receptores glutamatérgicos, TRPs e ASICs [PDF]
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro de Ciências Biológicas, Programa de Pós-Graduação em Neurociências, Florianópolis, 2012As Disfunções Temporomandibulares (DTMs) compreendem um grupo de distúrbios que podem acometer os ...
Dal Bó, Wladmir Antônio de Souza
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ABSTRACT Aim This study aimed to contribute to the development of modern mouthguards by evaluating the stresses generated by hook and uppercut punches applied during combat sports on dentoalveolar structures and mouthguards, the protective effectiveness of different mouthguard designs, and the resulting deformations using three‐dimensional finite ...
Çağla Nur Kalafat, Zeynep Yeşil
wiley +1 more source
Assessing the Credibility of ChatGPT on Temporomandibular Disorders
ABSTRACT Introduction Large Language Models such as ChatGPT are increasingly used in dental education; however, their credibility in clinical contexts remains uncertain. This study is aimed to analyse the credibility and efficacy of responses given by ChatGPT about temporomandibular disorders among dentists and dental students.
Hilal Yilanci +2 more
wiley +1 more source
Comparison of Intra-articular Injection of PRGF and Corticosteroid When Used as an Adjunct to Temporomandibular Joint Arthrocentesis: A Blinded Randomized Control Trial [PDF]
Background: Intraarticular pain in dysfunction (IPD) is a notably prevalent condition affecting the temporomandibular joint. Both marcotrauma and microtrauma, from bruxism and parafunctional habits, can lead to internal derangement of the ...
Dale, Catherine +3 more
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