Dental Health

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 broader usefulness for the variety of patients. Twenty-five cases meeting the eligibility criteria were extracted from paediatric dentistry questions in the National Examination. Age, sex, and chief complaint were collected and presented to Copilot an...

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. Artificial intelligence-enabled electrocardiography (AI-ECG) algorithms accurately estimate cardiovascular disease risk. We investigated the association between inadequate preventive dental care and the AI-ECG-estimated risk of atrial fibrillation, ...

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...

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 segmentation of fluorine-18 sodium fluoride PET scans of ...

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 lives around the globe. Frequently employed methods f...

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 orthodontic treatment in individuals with skeleta...

Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

INTRODUCTION: Periodontal disease (PD) is closely linked to systemic health, with established associations with chronic conditions (eg, diabetes, card...

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 syndrome. The triglyceride-glucose (TyG) index is a ...

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 lipidomic profiles in gingival crevicular fluid (GCF) obta...

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 symptoms and magnetic resonance imaging (MRI), which i...

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 orthodontic extraction treatment planning: a systema...

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 planning and growth modulation. This study aimed to deve...

Dental Therapeutic Applications of Nanotechnology and Artificial Intelligence (AI).

The integration of nanotechnology and artificial intelligence (AI) in dentistry offers transformative potential for diagnostics, treatment, and preven...

Artificial Intelligence Applications in Periodontology: Enhancing Diagnosis, Monitoring, and Treatment in Clinical Practice.

While potentially revolutionary, the application of artificial intelligence (AI) in periodontology is in its early stages of development. AI tools hol...

Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis.

A complex network method is introduced for high-resolution hyperspectral image analysis and classification. The method is applied to detecting environ...