Results 231 to 240 of about 1,787,415 (342)

Updating the Bruxism Definitions: Report of an International Consensus Meeting

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Bruxism is receiving increasing attention from both clinicians and researchers over the past decades. Recently, it has become clear that some aspects of the currently proposed, expert‐driven bruxism definitions raise questions and cause confusion among clinicians, researchers, educators and patients.
Merel C. Verhoeff   +17 more
wiley   +1 more source

Haematologic Data Improves Long‐Term Prediction Accuracy of Artificial Intelligence Models for Temporomandibular Disorders

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Objectives This study aimed to develop and evaluate an artificial intelligence (AI) model to predict long‐term treatment outcomes in temporomandibular disorder (TMD) patients using clinical data and verify the value of adding haematologic data in enhancing predictive accuracy.
Moon Jong Kim   +4 more
wiley   +1 more source

A Second Residual Tooth Occurring from One Tooth. [PDF]

open access: yesDiagnostics (Basel)
Akitomo T   +4 more
europepmc   +1 more source

Prevalence of Bruxism in Athletes: A Systematic Review and Meta‐Analysis

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Bruxism is a behaviour that can be associated with negative health consequences, which may be exacerbated in athletes due to their exposure to anxiety situations during pre‐competition and competition periods. Objective This study aimed to synthesise available scientific evidence investigating the prevalence of sleep and/or awake ...
Alka Daby Nascimento de Sales   +7 more
wiley   +1 more source

Applications of Artificial Intelligence (AI) for Diagnosis of Periodontal/Peri‐Implant Diseases: A Narrative Review

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Artificial intelligence (AI) and various subunits of AI such as artificial neural networks (ANN), Convolutional neural networks (CNNs), machine learning (ML), deep learning (DL) and deep neural networks (DNN) are being tried to diagnose and plan treatment for periodontal diseases.
Rupanjan Roy   +3 more
wiley   +1 more source

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