Dental Health

Precision periodontology in clinical practice: bridging omics and clinical decision-making.

BACKGROUND: Precision periodontology integrates molecular diagnostics, genomics, and advanced imaging into clinical decision-making. Despite major advances in microbiome characterisation, host genetics, and inflammatory biomarkers, their translation into routine care remains limited. OBJECTIVES: To critically appraise current evidence on microbiome-based profiling, genetic and epigenetic markers, ...

Assessing the Diagnostic Performance of ChatGPT-5.0 versus Machine Learning in Orthodontics: A Comparative Analysis for Extraction Treatment Planning.

OBJECTIVE: To make accurate orthodontic extraction decisions, various clinical and cephalometric variables must be evaluated. This study aims to evaluate ChatGPT-5.0's performance in distinguishing orthodontic extraction decisions and to compare it with five supervised machine learning (ML) algorithms. METHODS: Of 550 retrospectively evaluated orthodontic records, 30 were reserved for calibration,...

Artificial Intelligence in Orthodontics: Part 2-Data Preparation and Performance Evaluation.

Artificial intelligence (AI) is increasingly integrated into orthodontic research and clinical workflows. Yet, the reliability and clinical value of t...

Advanced imaging in systemic sclerosis: distinguishing activity from damage across organ systems.

PURPOSE OF REVIEW: A central challenge in systemic sclerosis (SSc) is the inability to distinguish active, potentially reversible disease, from damage...

Predicting and assessing the distribution of high-fluoride groundwater in China using multiple machine learning models: A big data-driven geospatial analysis.

Drinking-water fluorosis remains a major public health concern in China due to sustained reliance on high-fluoride groundwater in rural regions. Using...

Sharp nanothorn-equipped ionogel microrobots for targeted periodontitis therapy.

Periodontitis necessitates targeted therapy due to its high prevalence, progressive tissue destruction, and systemic disease links. Conventional mecha...

Determining groundwater quality and its associated human health risk using hydrochemical signatures and some machine learning techniques.

Groundwater is a major source of domestic water in coastal Ghana, but its quality is increasingly threatened by salinisation, nutrient enrichment, geo...

Artificial Intelligence in Orthodontics: A Scoping Review of Methods and Applications.

The rapid integration of artificial intelligence (AI) into orthodontics raises important questions about which methods are being applied, how they are...

Methodological Quality of Prognostic Models for Periodontitis: A Systematic Review and Critical Appraisal.

AIM: To critically appraise the methodological quality and historical evolution of prognostic models for periodontitis. MATERIALS AND METHODS: A syste...

Cross-Vendor Robustness of a Hybrid Deep Learning Framework for Four-Stage Periodontitis Classification on Panoramic Radiographs.

OBJECTIVES: Although deep learning for periodontitis diagnosis on panoramic radiographs has advanced rapidly, most studies use single-vendor data and ...

Multi-domain identification of myocardial infarction incidence using explainable AI: the overlooked role of periodontal health.

Myocardial infarction (MI) is a major global health concern influenced by diverse risk factors. Despite growing evidence of oral-systemic connections,...

Training the algorithmically augmented orthodontist: competencies, curriculum design, and implementation challenges.

OBJECTIVES: To establish a structured framework for incorporating artificial intelligence (AI) education into orthodontic residency training, outlinin...

An Efficient Detection Platform Based on Mesoporous Au@Cr2O3 Particles with Schwarz P Surface for Precise Periodontitis Metabolite Profiling.

Matrix materials with high desorption and ionization efficiency are crucial for the sensitive and accurate metabolite profiling in matrix-assisted las...

Performance of multimodal large language models in interpreting lateral cephalometric superimpositions: A comparative observer-performance study.

INTRODUCTION: Multimodal large language models (LLMs) can generate free-text interpretations of clinical images, but their performance on orthodontic ...

Future orthodontist skill framework: A world federation of orthodontists white paper.

BACKGROUND: Orthodontic practice is being reshaped by digital workflows, artificial intelligence (AI), shifting patient expectations, global communica...

Large language models and chatbots in orthodontic patient education: A systematic review and meta-analysis.

INTRODUCTION: Patients now arrive at the orthodontic consultation having already consulted a chatbot, yet the accuracy, quality and readability of the...

Deep learning-based automated assessment of alveolar bone loss in CBCT for periodontitis.

OBJECTIVES: This study aimed to develop and validate a CBCT-based automated system for assessing radiographic alveolar bone loss (RBL) to improve the ...

The Triglyceride Glucose-a Body Shape Index: A Novel Composite Index for Prediction of Periodontitis Risk.

INTRODUCTION AND AIM: Insulin resistance and obesity are significant metabolic risk factors for periodontitis. This study aimed to systematically inve...

YOLO11-guided swin transformer for molar occlusion classification.

Molar occlusion identification is a fundamental component of orthodontic diagnosis and treatment planning. Conventional assessment using intraoral pho...

Beyond Geometric Deformation: High-Fidelity Orthodontic Profile Synthesis via ControlNet-Guided Generative AI.

OBJECTIVE: To develop and validate a clinically oriented, diffusion-based framework for orthodontic profile visualization that synthesizes photorealis...