Dental Health

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 the equine metacarpo- and metatarsophalangeal joint (fetlock), targeting the third metacarpal bone, proximal phalanx, proximal sesamoid bone(s), and soft tissue. METHODS: PET and corresponding CT scans were retrospectively selected from June 2024 thr...

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 for detecting CVDs and/or DM such as blood work and cardiac catheterisation are often invasive, intrusive and can cause the patient additional physical and psychological harm. Vibrational spectroscopic methods including near-infrared (NIR) spectroscop...

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...

Comparison between automated and manual digital diagnostic setups of orthodontic extraction cases: an in silico study.

BACKGROUND: The aim of the study was to evaluate automated digital diagnostic setup in bimaxillary dentoalveolar protrusion cases using two software p...

ChatGPT performance in orthodontics : Assessment of accuracy and repeatability in patient instruction and management using Global Quality Score.

PURPOSE: This study assessed the accuracy and repeatability of the orthodontics-related information generated by Chat Generative Pre-trained Transform...

Designing Poly(ionic liquid)s as High-Performance LiFePO4 Binders via Mechanistic Study and ML-Assisted Structure-Property Analysis.

Conventional LiFePO4 (LFP) cathodes employing poly(vinylidene fluoride) (PVDF) as binder exhibit relatively stable cycling performance but suffer from...

Accuracy of DentalMonitoring's artificial intelligence in detecting common orthodontic braces treatment related emergencies.

This study aimed to evaluate the diagnostic performance of DentalMonitoring™ (DM) (Dental Monitoring SAS, Paris, France), an FDA-cleared AI-powered or...

Artificial Intelligence-Based Multi-Stage System for Automated Angle's Classification of Malocclusion from Intraoral Images in Orthodontics.

This study presents a multi-stage deep learning pipeline for automated Angle's classification of occlusion using intraoral images in orthodontics. The...

Role of WNK4 and FKBP5 in asthma: Insights from bioinformatics analysis, machine learning, and preliminary validation.

BACKGROUND: The complex and heterogeneous molecular mechanisms of asthma are currently unclear, and treatment outcomes are dismal in some patients. Th...