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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...

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: 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: 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...

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...

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...

Introduction and aims: Skeletal Class II malocclusion is heterogeneous, and conventional two-dimensional cephalometry may not fully capture relevant three-dimensional (3D) craniofacial variation. This study aimed to iden...

Background: Recent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasingly supporting clinical skill training and educational applications. ...

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: Early clinical exposure (ECE) integrates students into clinical settings during theoretical learning, aiming to foster professional development. This systematic review aims to comprehensively evalu...

Objective: The successful completion of orthodontic treatment largely depends on the accuracy of bracket placement. This study aimed to compare the impact of virtual simulation and traditional training on bonding, while ...

Objectives: By establishing a rat model of periapical infection, this study compared the anti‑inflammatory effects of caerin 1.1/1.9 hydrogel and calcium hydroxide paste, aiming to provide a novel therapeutic strategy ...

ABSTRACT: Introduction and aims: To provide the research progress on the cGAS-STING signalling pathway and its related roles in various oral diseases. Methods: We reviewed the recent research on cGAS-STING in PubMed. Th...

Introduction and Aims: Mandibular movement is a complex physiological process essential for orofacial function. Patients with disc displacement without reduction (DDWoR) exhibit significant kinematic impairments, which a...

Materias / palabras clave: Oral health; Global burden of disease; Health status indicators; Health care economics; Cost-effectiveness analysis; Quality-adjusted life years

Introduction and aims: Submucous cleft palate (SMCP) is a congenital craniofacial malformation. While TBX22 is a known pathogenic gene, the potential role of TBX15 in SMCP remains unclear. This study aimed to investigate...

ABSTRACT: Introduction: The links between oral health and female ageing are poorly understood, but many changes occur in the oral cavity of menopausal women that affect quality of life, and few current oral health inter...

Background and Objectives: Given the increasing use of artificial intelligence (AI) tools for dental health information, this study compared patients' perceived health information literacy for AI chatbots, measured using...

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...