Updating the Bruxism Definitions: Report of an International Consensus Meeting
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
Treatment of Horizontal Root Fractures in Traumatized Maxillary Central Incisors Using Minimally Invasive Surgical and Prosthodontic Foundation Techniques. [PDF]
Atsumi K, Tanoue N.
europepmc +1 more source
Study of causes of abnormal tooth and gingival discoloration using AAS and XRF methods [PDF]
Samin Prihatin+2 more
openalex +1 more source
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]
Akitomo T+4 more
europepmc +1 more source
Autotransplantation of a Supernumerary Tooth to Replace a Misaligned Incisor with Abnormal Dimensions and Morphology: 2-Year Follow-Up [PDF]
Resmiye Ebru Tirali+4 more
openalex +1 more source
Prevalence of Bruxism in Athletes: A Systematic Review and Meta‐Analysis
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
Late developing supernumerary teeth and congenital absence of the upper right lateral incisor in the maxillary anterior region: a rare case report. [PDF]
Xie Y, Gao H, Xing L, Tang M.
europepmc +1 more source
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