Dental Health

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 accuracy and efficiency of periodontitis diagnosis. METHODS: A total of 110 patients (2,796 teeth) with Stage I-IV periodontitis from four center were included. The nnU-Net framework was used to segment teeth, alveolar bone, and the cemento-enamel ju...

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 investigate the association between the novel metabolic obesity composite index, triglyceride glucose-a body shape index (TyG-ABSI), and the risk of periodontitis, further evaluating its clinical predictive performance. METHODS: Data from 4545 participan...

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...

Individualizing ANB angle based on Arab and German orthodontic cephalometric analysis: a cross-sectional multi-center study.

One of the standard methods for classifying skeletal malocclusion patients is based on the individualized ANB (ANBindv.), which was established in 197...

Risk factors for periodontal ligament area reduction in maxillary central incisors following orthodontic treatment: a retrospective analysis using a deep learning-based CBCT-PDL segmentation network.

OBJECTIVE: To analyze the relevant risk factors causing the reduction of periodontal ligament area (PDLA) of the maxillary central incisor by measurin...

Evaluating the informational accuracy of large language models in patient‑directed orthodontic retainer guidance: a cross‑sectional comparison of Chat GPT‑4.1, Gemini 2.5, Microsoft Copilot GPT-4.1 and DeepSeek‑V3.

INTRODUCTION: The use of artificial intelligence (AI) in orthodontic practice is increasing rapidly; however, there is a notable lack of research eval...

Machine learning-based analysis of oral rinse samples to identify candidate proteomic signatures for severe periodontitis: a pilot study.

This pilot study investigated whether candidate protein signatures from oral rinse samples can distinguish patients with severe periodontitis (stage I...

Comparative Evaluation of Locally Delivered Aloe vera Gel as an Adjunct to Scaling and Root Planing in Patients With Periodontitis: A Randomized Clinical Trial.

BACKGROUND: Herbal adjuncts have gained increasing interest in nonsurgical periodontal therapy because of their anti-inflammatory, antimicrobial, and ...

Predictive modeling of soft tissue changes after orthodontic treatment with premolar extractions using frontal facial photographs.

BACKGROUND: The present study aimed to determine the accuracy of machine learning in predicting soft tissue changes after orthodontic treatment after ...

Tunable Surface Chemistry of Molten Salt Derived MXenes for Data-Driven Electrochemical Materials Discovery.

The surface chemistry of MXenes is a central factor governing electrochemical performance and has become increasingly complex with the emergence of mo...

Bioactive Peptides for Oral Diseases: Biomaterial-Assisted Therapeutics and Translational Applications.

Dental caries, periodontitis, oral mucosal inflammation, peri-implant infections, and oral tissue defects remain major clinical burdens. Conventional ...

Single-cell and Spatial Transcriptomic Profiling Reveal that LAPTM5-mediated Ferroptosis in Macrophages Induces Fibroblast Dysfunction and Amplifies Periodontal Inflammation.

Periodontitis represents a persistent inflammatory condition marked by gradual damage to the gingival connective tissues and alveolar bone. Programmed...

Performance of large language models on undergraduate endodontic multiple-choice questions.

OBJECTIVE: This study aimed to evaluate the accuracy and consistency of responses provided by three large language models (LLMs), ChatGPT-5.2, Gemini-...

Immunoglobulin Heavy Constant Mu as a Shared Gene in Periodontitis and Rheumatoid Arthritis: A Bioinformatic Analysis.

INTRODUCTION AND AIMS: Rheumatoid arthritis (RA) and periodontitis (PD) are two inflammatory diseases sharing immunopathogenic features and a common i...

The accuracy of artificial intelligence in identifying cephalometric landmarks: A scoping review.

BACKGROUND: Accurate identification of cephalometric landmarks is essential for orthodontic diagnosis and treatment planning. Manual landmarking is ti...

Artificial Intelligence in Dental Practice: Current Trends and Future Perspectives.

The significance of artificial intelligence (AI) in several facets of dental care is highlighted in this paper. These days, AI is becoming more widely...

Diagnostic performance of a multimodal large language model in assessing the index of complexity, outcome, and need: comparison with orthodontist evaluation.

BACKGROUND: This study evaluated the performance of a multimodal large language model (MLLM), Chat Generative Pretrained Transformer-5.5 (ChatGPT-5.5)...

What every dentist needs to know about the use of artificial intelligence in orthodontic treatment planning.

The integration of artificial intelligence (AI) into orthodontic treatment planning has the potential to transform the profession of orthodontics, off...

Breath-Based Detection of Oral Diseases Using Sensors and Machine Learning.

OBJECTIVES: Diagnostic limitations contribute to variability in clinical decision-making, highlighting the need for objective diagnostic tools. Biomar...