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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...

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...

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...

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...

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...

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...

ABSTRACT: Introduction and aims: Oral squamous cell carcinoma (OSCC) is a common malignant tumour of the head and neck region. In recent years, the relationship between pyroptosis and tumours has received increasing att...

Background: Oral squamous cell carcinoma (OSCC) is a common oral cavity malignancy with a poor prognosis. Although chemokine-like receptor 1 (CMKLR1) has been implicated in tumor progression in several types of cancer, i...

Introduction and aims: To evaluate the diagnostic and reasoning capabilities of 4 state-of-the-art large language models (LLMs) on the Korean Dental Licensing Examination (KDLE) and to assess their potential as education...

Background: Conventional glass ionomer cement (GIC) is widely used as a restorative base and liner owing to its chemical adhesion to dentine, fluoride release, and favourable biocompatibility. Nevertheless, its intrinsic...

Objective: Periodontitis is a chronic inflammatory disease that severely affects oral and general health. N7-methylguanosine (m7G) methylation plays critical roles in regulating gene expression and cellular functions. Me...

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...

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: 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...

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 ...

Introduction and aims: This study aimed to collect data of national dental associations (NDAs) on workforce composition, employment patterns, academic representation, specialization, and women’s participation in leader...

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...

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...

Objectives: To investigate the relationship between caries in primary teeth and caries in permanent teeth among primary school students, and to identify potential effect modifiers of this relationship. Methods: This retr...

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. ...