Buscar recursos académicos

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: 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...

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...

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: This article aims to answer how emerging technologies, education, and governance can be strategically integrated to improve oral health in Latin America and the Caribbean (LAC). By focusing on Vene...

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 aim: In line with global and national goals to improve healthcare access and quality, this study projected prosthetic needs in young adults to guide prevention, training, and staffing at KAUDH. Methods: ...

Objective: To test whether an AI-assisted, dual-template workflow improves plan–delivery accuracy in tooth autotransplantation versus a replica-only freehand approach. Methods: Twenty-four consecutive cases were assign...

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...

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...

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...