Dental Health

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

INTRODUCTION: Early identification of vertical skeletal discrepancies is essential for orthodontic d...

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, particu...

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

Despite notable progress in understanding the pediatric dental caries area, its multifactorial etiol...

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 ar...

Diagnostic Capabilities of Large Language Models in Paediatric Dentistry.

Although many studies have examined large language models (LLMs) for dental diagnosis, most focus on...

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 peri...

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

PURPOSE: Intracranial calcifications are commonly found in adults and may represent either benign or...

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 ...

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 insuffi...

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 fo...

Deep learning cascade networks for segmentation of fluorine-18 sodium fluoride positron emission tomography scans of equine metacarpo- and metatarsophalangeal joints outperform atlas-based method.

OBJECTIVE: To create a labeled dataset and evaluate a convolutional neural network (CNN) for segment...

Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.

Cardiovascular diseases (CVDs) and diabetes mellitus (DM) are significant conditions that impact liv...

Predicting camouflage treatment outcomes in skeletal class III malocclusion using machine learning.

This study focused on developing a machine learning (ML) model to forecast the success of camouflage...

Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

INTRODUCTION: Periodontal disease (PD) is closely linked to systemic health, with established associ...

A Cross-Sectional Study Based on Deep Learning to Explore the Effect of Triglyceride/Glucose Index on Periodontitis: An Analysis Based on the Large NHANES Database.

PURPOSE: Periodontitis is a common chronic inflammatory disease closely associated with metabolic sy...

Radiomic features and carotid stenosis in periodontitis a two stage bootstrap and multimodal machine learning study.

Untargeted Metabolomic and Lipidomic Profiles of Gingival Crevicular Fluid in the Context of Periodontitis.

AIM(S): This cross-sectional clinical study aimed to explore the untargeted metabolomic and lipidomi...

CBCT assisted diagnosis system for temporomandibular joint disc displacement based on deep learning.

BACKGROUND: The diagnosis of temporomandibular joint (TMJ) disc displacement relies on clinical symp...

Beyond the algorithm potential: orthodontic tooth-extraction decisions in the age of AI.

A COMMENTARY ON: Ziaei, S., Samani, D., Behjati, M. et al. Accuracy of artificial intelligence in or...

A comparative analysis of embedded chatbot models and ChatGPT-4 for answering orthodontic treatment queries.

Prediction of skeletal maturity using machine learning based on multiple biological indicators.

INTRODUCTION: Accurate assessment of skeletal maturity is essential for orthodontic treatment planni...