Results 251 to 260 of about 489,696 (326)

Comparative Analysis of Vital and Nonvital Pulp Therapy Outcomes in Pediatric Endodontics.

open access: yesJ Pharm Bioallied Sci
Venkatasubramanian R   +5 more
europepmc   +1 more source

Does LeFort I Surgery Have Any Influence on External Root Resorption? [PDF]

open access: yesTurk J Orthod
Kim E   +5 more
europepmc   +1 more source

Prevalence and Interplay of Hypervigilance and Kinesiophobia in TMD Patients: Implications in Clinical Outcomes

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Behavioural cognitive factors, like kinesiophobia and coping skills like hypervigilance, may contribute to a worse prognosis of TMD symptoms. However, there is a lack of evidence about the prevalence and relationship of hypervigilance and kinesiophobia with TMD. Objective This study aimed to assess the prevalence and associations of
Pedro Miguel Teixeira Carvas Cebola   +8 more
wiley   +1 more source

Digital Occlusal Contact Area Indicates Masticatory Performance for Normal Occlusion, but Not for Malocclusion

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Objectives Since 1949, occlusal contact area (OCA) has been recognised as an indicator of masticatory performance (MP), but it required individual and laborious analog measurement. Today, a digital workflow could provide automatic quantification.
Paulina Vortkamp   +10 more
wiley   +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

Home - About - Disclaimer - Privacy