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Oral

Oral — Health, Diseases, Therapies, and Technologies is an international, peer-reviewed, open access journal on oral health published quarterly online by MDPI.

Quartile Ranking JCR - Q3 (Dentistry, Oral Surgery and Medicine)

All Articles (235)

Obstructive sleep apnea (OSA) is a chronic disorder associated with serious health consequences, yet many cases remain undiagnosed due to limited access to standard diagnostic tools such as polysomnography. Recent advances in artificial intelligence (AI) have enabled the development of deep convolutional neural networks that analyze craniofacial radiographs, particularly lateral cephalograms, to detect anatomical risk factors for OSA. The goal of this approach is not to replace polysomnography but to identify individuals with a high suspicion of OSA at the primary care or dental level and to guide them toward timely and appropriate diagnostic evaluation. Current studies have demonstrated that AI can recognize patterns of oropharyngeal crowding and anatomical imbalance of the upper airway with high accuracy, often exceeding manual assessment. Furthermore, interpretability analyses suggest that AI focuses on clinically meaningful regions, including the tongue, mandible, and upper airway. Unexpected findings such as predictive signals from outside the airway also suggest AI may detect subtle features associated with age or obesity. Ultimately, integrating AI with cephalometric imaging may support early screening and referral for polysomnography, improving care pathways and reducing delays in OSA treatment.

9 October 2025

Challenges in AI-Assisted OSA Detection in Dental Settings. Key challenges in current OSA management include a shortage of specialized medical facilities and a large number of undiagnosed patients, many of whom may present in dental settings. AI-based screening using dental images may help identify individuals at high risk and facilitate timely referral to secondary or tertiary sleep centers for polysomnography (PSG) or other appropriate diagnostic testing, thereby expediting appropriate diagnosis and effective treatment.

Mucins are a family of heavily glycosylated proteins that form the main organic component of the oral mucosal barrier complex. Transmembrane mucin 1 (tMUC1) is anchored at the superficial epithelial surface to provide a protective function. The interaction of tMUC1 with oral microbes provides nutrients and physicochemical protection, promotes adhesion, and increases the microbe residence time in the oral cavity. Mucin-degrading microorganisms in the consortia also offer some advantages to oral microbes. The high molecular weight of mucin glycoproteins is hard to study because of their size, complexity, and heterogeneity. This review discusses how mucin facilitates oral microbiome colonization and how mucin–microbial interactions influence the development of oral cancer, mainly oral squamous cell carcinoma.

9 October 2025

Oral microbiota involved in oral and systemic diseases.

Objective: The material properties of craniofacial sutures significantly influence the outcomes of orthodontic treatment, particularly with newer appliances. This study specifically investigates how the Young’s modulus of craniofacial sutures impacts the anterosuperior protraction achieved using a recently developed extraoral appliance. Our goal is to identify the patterns by which suture properties affect skull deformation induced by this device. Materials and Methods: We conducted four finite element (FE) simulations to evaluate the Right Angle Maxillary Protraction Appliance (RAMPA) when integrated with an intraoral device (gHu-1). We tested Young’s moduli of 30 MPa, 50 MPa, and 80 MPa for the sutures, drawing on values reported in previous research. To isolate RAMPA’s effects on craniofacial deformation, we also performed an additional simulation with rigid sutures and a separate model that included only the intraoral device. Results: Simulations with flexible sutures showed consistent displacement and stress patterns. In contrast, the rigid suture model exhibited substantial deviations, ranging from 32% to 76%, especially in the maxillary palatine suture and orbital cavity. Both displacements and von Mises stresses were proportional to the Young’s modulus, with linear variations of approximately 15%. Conclusions: Our findings demonstrate that RAMPA effectively achieves anterosuperior protraction across a broad spectrum of suture material properties. This positions RAMPA as a promising treatment option for patients with long-face syndrome. Furthermore, the observed linear relationship (with a fixed slope) between craniofacial deformation and the Young’s modulus of sutures provides a crucial foundation for predicting treatment outcomes in various patients.

1 October 2025

Different parts simulated in the FEA; (a) frontal view of skull; (b) cancellous bone of skull; (c) teeth; and (d) periodontal ligament.

The global demographic transition toward an ageing population has necessitated substantive reforms in dental education, particularly within the field of geriatric prosthodontics. Conventional curricula have frequently prioritized technical competencies while insufficiently addressing the integration of biological, psychosocial, and ethical complexities inherent in the care of older adults. This scoping review critically examined these curricular deficiencies by synthesizing evidence from 34 peer-reviewed studies, employing Bloom’s Taxonomy as a conceptual framework to inform a systematic and pedagogically grounded curriculum redesign. The primary aim was to identify existing gaps in undergraduate and postgraduate education, evaluate the efficacy of active and simulation-based learning modalities, assess the utility of reflective practices and standardised assessment tools, and formulate strategic, taxonomy-aligned pedagogical guidelines. Following the PRISMA-ScR methodology, the included studies were thematically analysed and categorized across the six cognitive levels of Bloom’s Taxonomy. Findings highlighted the effectiveness of integrated educational strategies, including Case-Based Learning, interprofessional education, virtual simulations, and structured assessments such as Objective Structured Clinical Examinations (OSCE). Furthermore, reflective models such as “What? So What? Now What?” fostered higher-order cognitive processes, ethical reasoning, and self-directed learning. By aligning cognitive levels—from foundational knowledge recall to innovative creation—ten evidence-based educational guidelines were developed. These guidelines are pedagogically sound, empirically supported, and adaptable to diverse curricular contexts. The proposed framework ensures a deliberate, progressive trajectory from theoretical comprehension to clinical expertise and ethical leadership. Future research should explore longitudinal outcomes and develop scalable, culturally responsive models to support the broader implementation of curricular reform in geriatric dental education.

23 September 2025

PRISMA-ScR flowchart.

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Oral - ISSN 2673-6373Creative Common CC BY license