Buscar recursos académicos

To evaluate the frequency and types of data availability statements (DASs) of publications in journals indexed in the Dentistry, Oral surgery and Medical (DOM) category of Journal Citation Reports (JCR) database, and to ...

Objectives: This study aimed to develop an automated deep learning (DL) system to detect and classify second molar (M2) pathologies associated with impacted third molars (ITMs) on panoramic radiographs. We sought to enha...

This study aimed to evaluate the performance of deep learning models for segmenting the augmented bone following transalveolar sinus floor elevation (TSFE). Cone-beam computed tomography (CBCT) data from 103 patients und...

Objectives: Deep learning networks have achieved significant progress in caries diagnosis, but automated localization and numbering of carious teeth in cone-beam computed tomography (CBCT) images remain underexplored. Th...

Objective: To generate synthetic Orthopantomograms (OPGs) using generative Artificial Intelligence (AI) models and to evaluate the realism of synthetic images through assessments by humans as well as AI models. Methodolo...

Introduction and aims: Additive manufacturing technology has the potential to produce accurate restorations in the field of prosthodontics. This in vitro study aimed to investigate the dimensional accuracy and marginal a...

Introduction: This study aimed to identify dental pain using machine learning (ML) algorithms in Brazilian adolescents for public health screening purposes. Methods: Data from 2 cross-sectional waves of the Brazilian Nat...

Background: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clinical planning, yet traditional methodologies often lack the required accuracy and realism. We introduce a novel generati...

Introduction and aims: Healing abutment dislodgement is a common clinical complication in dental implantology, yet its impact on peri-implant soft tissue immunity remains unclear. This exploratory pilot study aimed to in...

Introduction: The advancement of AI-assisted oral disease diagnosis critically relies on the availability of annotated, high-quality datasets and resilient deep learning architectures. Nevertheless, progress in this doma...

Purpose: Dental caries is one of the most prevalent oral diseases worldwide, and predicting Early Enamel Caries (EEC) and Advanced Enamel Caries (AEC) in intraoral imaging is a significant clinical research challenge. To...

Introduction and aims: For decades, orthodontic diagnosis and treatment have primarily depended on physical models, imaging techniques, and three-dimensional (3D) imaging technologies. Nevertheless, single-modal data exh...

Background: This study aims to evaluate the effectiveness and efficiency of combined multiple-case teaching (MCT) and narrative medicine teaching (NMT) method compared with lecture-based learning (LBL) in the clinical pr...

Introduction: Computer-aided design and computer-aided manufacturing (CAD/CAM) have transformed modern dentistry, yet evidence from the Caribbean remains limited. Objective: To assess CAD/CAM adoption among dentists in t...

Objectives: To characterize the proliferative and immunophenotypic profiles of salivary gland mucoepidermoid carcinoma (MEC) and to explore their associations with clinicopathologic features, tumour microenvironment (TME...

Objectives: To comprehensively analyse the burden of five oral diseases in China, including caries of deciduous teeth, caries of permanent teeth, periodontal diseases, edentulism, and other oral disorders; compare their ...

Introduction and aims: Oral and maxillofacial surgery (OMFS) produces complex clinical data, while artificial intelligence (AI) applications in this field remain limited despite great potential. This study aimed to map t...

Introduction and aims: This study investigated the synergistic effect of combining 10-methacryloyloxydecyl dihydrogen phosphate (10-MDP) and γ-methacryloxypropyl trimethoxysilane (γ-MPTS) in one primer on bonding to li...

Objectives: Survival rates in patients with oral squamous cell carcinoma (OSCC) have failed to improve greatly over time, and novel biomarkers are urgently needed. Therefore, the aim was to evaluate the predictive abilit...

Objectives: This study utilized dual control groups, caries patients (a representative bacterial infectious disease) and healthy individuals, to identify the core microbiome specific to dental fluorosis and elucidate the...

To systematically evaluate the measurement properties of current masticatory performance (MP) assessment methods in adult populations. A systematic search was performed in the PubMed, Cochrane Library, and EBSCOhost data...

ABSTRACT: Background: Lip and oral cavity cancer (LOCC) remains a significant issue in Europe, with an uneven public health burden. While trends have shifted, regional and sex-specific disparities persist due to modifia...