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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...

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...

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...

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...

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...

The characteristic oral environment – with its dynamic clearance, moisture, microbial load, and inflammatory potential – makes oral diseases highly prevalent and therapeutically challenging. Metal-organic frameworks ...

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...

Oral mucosal ageing represents a fundamental reprogramming of the tissue microenvironment, a dynamic process that underlies the functional decline and heightened disease susceptibility observed in the elderly. This revie...

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...

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...

Objectives: To analyse the relationship between oral frailty (OF) and cognitive impairment in older adults and explore the association between OF and different domains of cognitive function. Methods: A total of 461 commu...

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...

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...

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...