Dental Health

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 1977 by Panagiotidis and Witt. However, this method was based on a limited sample size and on one ethnic group. Therefore, the primary objective of this study was to develop a new equation based on multiple ethnic groups and a larger sample size, which ...

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 measuring the PDLA before and after orthodontic treatment using a previously validated cone-beam computed tomography-periodontal ligament (CBCT-PDL) deep learning segmentation network, providing a theoretical basis for orthodontic clinical treatment design. ...

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-...

Luminescence properties of fluoride laser crystals: a joint prediction model based on universal atomic embedded graph neural networks and transfer learning.

Predicting the luminescence properties of fluoride laser crystals in the 3-5 µm mid-infrared bands is challenging due to data scarcity and inefficient...

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...

Prompt sensitivity of large language models in orthodontic patient counseling: a scenario-based experimental study.

BACKGROUND: Large language models (LLMs) are increasingly used as accessible sources of health information, including orthodontic patient counseling. ...

Zero-shot detection of apical periodontitis on periapical radiographs using multimodal large language models: diagnostic accuracy and error patterns.

BACKGROUND: The present study evaluated the diagnostic performance of three general-purpose multimodal large language models (MLLMs)-Claude 4.5 Sonnet...

Impact of cone-beam computed tomography image quality on artificial intelligence-driven three-dimensional tooth segmentation and evaluation of external apical root resorption.

OBJECTIVES: To assess the reliability of the diagnostic method using Diagnocat artificial intelligence (AI)-generated standard tessellation language (...