Dental Health

[Deep learning-based assessment of periodontal ligament area changes in maxillary central incisors under different orthodontic regimens using cone-beam CT images].

Objective: To investigate the differences in the changes of periodontal ligament area (PDLA) and related clinical indicators before and after maxillary central incisor movement under different orthodontic treatment regimens. Methods: This study was designed as a retrospective case-control trial. A total of 49 orthodontic patients (98 maxillary central incisors) who received the treatment in the De...

A Biologically Lubricating Allicin-Based Nanoplatform for Remodeling the Inflammation-Senescence Axis in the Treatment of Periodontitis.

Periodontitis is driven by a self-reinforcing cycle of persistent inflammation and cellular senescence, further exacerbated by pathogenic microbial colonization. To address this challenge, inspired by the "fortress effect", we report an allicin-based nanoplatform of biolubrication (PPCG) that establishes a physical and biological protective barrier for precise modulation of the periodontal microen...

Machine learning algorithms for predicting quality of life improvements after digital orthodontic treatment: a retrospective analysis.

BACKGROUND: Digital orthodontic treatment has revolutionized clinical practice, yet predicting individual patient outcomes remains challenging. This r...

Correction: Integrated network toxicology, machine learning and molecular docking reveal the mechanism of benzopyrene-induced periodontitis.

A predictive model for significant periodontal disease progression: A large-scale cohort study.

BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop and validate a machine learning model to identify ...

An overview of artificial intelligence applications in dentistry.

Artificial intelligence (AI) is a rapidly growing sector of technology in a variety of industries, especially healthcare. This literature review will ...

Prediction and risk factor analysis of dental implant failure using Cox regression and machine learning.

BACKGROUND: Survival analysis is commonly used to identify factors affecting dental implant longevity. While conventional studies typically employ the...

'OrthoQA' semantic search and question-answering tool for orthodontic education.

OBJECTIVE: To develop and systematically evaluate a domain-specific retrieval-augmented question-answering system, 'OrthoQA,' for orthodontic educatio...

Machine learning-guided Huanglian Jiedu decoction targets STING in periodontitis-induced Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with peripheral inflammatory conditions such as chronic p...

Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs.

OBJECTIVES: This study aimed to develop and compare two YOLOv12-based deep learning models-object detection and pose estimation-for the automatic clas...

Feasibility of predicting vertical cephalometric angles from panoramic radiographs using deep learning.

INTRODUCTION: Early identification of vertical skeletal discrepancies is essential for orthodontic diagnosis and treatment planning. Since panoramic r...

Aesthetic Component of the Index of Orthodontic Treatment Need (IOTN): Can large language models match the performance of orthodontists?

OBJECTIVE: The assessment of orthodontic treatment needs often involves subjective judgment, particularly when using esthetic indices such as the Aest...

Cariology in pediatric dentistry: An updated evidence-based narrative review.

Despite notable progress in understanding the pediatric dental caries area, its multifactorial etiology-including biofilm dynamics, dietary habits, ho...

Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing.

Electrospun poly(vinylidene fluoride-co-trifluoroethylene) (P(VDF-TrFE)) piezoelectric nanofibers are attractive for self-powered sensing owing to the...

Diagnostic Capabilities of Large Language Models in Paediatric Dentistry.

Although many studies have examined large language models (LLMs) for dental diagnosis, most focus on a single topic, and few have investigated their b...

Inadequate Preventive Dental Care Is Associated With Higher Cardiovascular Risk Identified by ECG-Based Artificial Intelligence Algorithms.

BACKGROUND: Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk....

Determinants of intracranial microcalcification assessed by 18F-sodium fluoride PET.

PURPOSE: Intracranial calcifications are commonly found in adults and may represent either benign or pathological lesions. Conventional imaging modali...

Development of an artificial intelligence platform to improve compliance in periodontal maintenance patients: A proof-of-concept study.

BACKGROUND: The purpose of this study is to report on the development of an artificial intelligence (AI) model designed to improve compliance in perio...

Implantable CB/PVDF/TPU Sensors for In Situ Monitoring of Internal Temperature Changes in Lithium-Ion Batteries.

In situ monitoring of lithium-ion battery thermal runaway is limited by the invasiveness and insufficient sensitivity of conventional thermometry. The...

Deep Learning-Based Multi-Stage System for Automated Tooth Detection and Segmentation in Orthodontic Photography.

This study aimed to develop and evaluate a fully automated, artificial intelligence-driven system for tooth detection and segmentation from complete o...