Dental Health

How Do GenAI Chatbots Communicate Fluoride Information? A Readability and Negative Framing Analysis.

INTRODUCTION: As generative artificial intelligence (GenAI) chatbots increasingly mediate online health information seeking, this study aimed to assess the readability of chatbot-generated responses and characterize negatively framed content by estimating its prevalence and identifying its thematic patterns across different communicative scenarios and prompt formats. METHODS: This cross-sectional ...

World Federation of Orthodontists Global Guidance on patient instructions and emergency protocols: A consensus framework for safe, patient-centered orthodontic care.

Orthodontic treatment is delivered in increasingly diverse clinical and digital environments, yet outcomes continue to depend on patients' understanding, adherence, and timely responses to complications. This World Federation of Orthodontists Global Guidance provides the first internationally oriented, consensus-based framework for orthodontic patient instructions and emergency protocols. An exper...

Diagnostic performance of artificial intelligence for orthodontic and dentofacial assessment using 2D and 3D facial images: A systematic review.

INTRODUCTION: Artificial intelligence (AI) has been increasingly applied to facial-image analysis in orthodontics, with potential applications in radi...

GENERALIZABILITY OF CLOUD-BASED AI SOFTWARE FOR ANTERIOR TOOTH SEGMENTATION IN MULTICENTER CBCT DATASETS: AN EXTERNAL VALIDATION STUDY.

OBJECTIVES: To externally validate the generalizability of a cloud-based artificial intelligence (AI) software for automated anterior tooth segmentati...

Performance of AI Chatbots in Providing EFP S3-Level Guideline-Based Information for Stage IV Periodontitis.

Benchmarking AI chatbots using structured questions derived from the EFP S3-level guideline for stage IV periodontitis showed high clarity but variabl...

Bioinformatics analysis reveals shared gene signatures and molecular mechanisms between periodontitis and rheumatoid arthritis in the context of aging.

OBJECTIVE: The interplay between periodontitis (PD) and rheumatoid arthritis (RA) is well recognized, with aging being a central risk factor for both....

Pulp and Periapical Biology: The Foundations of Personalized Endodontics.

Endodontic care has traditionally focused on the management of local disease conditions and long-term function. As the burden of pulpal and periapical...

Can Artificial Intelligence Match Human Expertise in Long-Term Periodontal Prognosis? A Comparative Accuracy Study.

AIM: To compare the prognostic performance of an artificial intelligence (AI) model with that of experienced clinicians in predicting tooth loss over ...

Updates on Imaging Modalities for the Diagnosis of Aortic Stenosis.

Aortic stenosis (AS) is the most common degenerative valvular disease in elderly patients and is linked to high morbidity and mortality. Accurate diag...

Research progress of AI assisted nano-SERS technology in rapid identification of multi species oral pathogenic biofilms.

Complex multispecies microbial communities that are oral pathogenic biofilms are linked to significant oral infections, such as dental caries, periodo...

Deep learning-enhanced detection of dental restorations and orthodontic appliances in panoramic radiographs using a clinically annotated dataset.

OBJECTIVE: Manual interpretation of dental panoramic radiographs is labor intensive and prone to diagnostic fatigue, particularly in high-volume setti...

Integrating machine learning and multi-omics analysis to identify and validate key genes associated with periodontitis.

AIMS: Early detection and intervention are crucial for effective management of periodontitis. Our study aims to identify diagnostic biomarkers for per...

Tooth-level spatial distribution of AI-detected oral hygiene insufficiency in fixed appliance versus clear aligner patients: A large-scale analysis using the dental monitoring™ platform.

BACKGROUND: To characterize the tooth-level spatial distribution of AI-detected oral hygiene insufficiency across the full dentition in patients under...

A novel AI system for preliminary triage support in single-tooth edentulous spaces using intraoral images.

This study aimed to demonstrate the integration of deep learning (DL) and machine learning (ML) using only occlusal photographs to provide preliminary...

Deep Learning-Based Classification of Facial Profile Convexity from Profile Photographs in Orthodontics: An Artificial Intelligence Study.

The soft-tissue facial profile is a cornerstone of orthodontic diagnosis and treatment planning, strongly influencing facial esthetics and patient sat...

Deep learning-assisted cone-beam computed tomography volumetric assessment of mandibular anterior alveolar bone changes with and without periodontally accelerated osteogenic orthodontics during skeletal Class III orthodontic-orthognathic treatment.

INTRODUCTION: Patients with skeletal Class III malocclusion often have thin anterior alveolar bone and an increased periodontal risk. This study evalu...

Prediction of fluoride contamination in groundwater of Nigeria using a weighted ensemble machine-learning framework.

Fluoride (F-) contamination of groundwater remains a significant health risk in Nigeria, affecting rural and urban communities. This study examines th...

Validity of Using Artificial Intelligence to Predict Skeletal Maturation in Orthodontic Treatment: A Systematic Review and Meta-analysis.

This systematic review aimed to evaluate the performance and clinical validation of artificial intelligence (AI) and rule-based methods for skeletal m...

The structural and dynamical stability of BeF2 at finite temperatures studied by machine learning molecular dynamics.

BeF2 is a key component of fluoride coolants in molten salt reactors. The structural phase transition between its α- and β-quartz phases at high tempe...

Innovations using digital technologies for periodontal diagnosis and prognosis: a narrative review.

OBJECTIVE: This narrative review aims to identify and evaluate the available scientific literature on digital technologies assisting clinicians in per...