Dental Health

Dental Crowding Categorization Network (DCC-Net): Explainable deep learning system for automatic categorization of dental crowding on intraoral photographs.

OBJECTIVE: Since categorization of dental crowding is a crucial parameter in orthodontic diagnosis a...

Machine learning in orthodontics: Transforming Invisalign treatment planning through precision, interpretability, and ethical practices.

BACKGROUND: The integration of artificial intelligence (AI) in healthcare, particularly in orthodont...

Are answers obtained from artificial intelligence models for information purposes repeatable?

INTRODUCTION: The objective of this study was to assess the repeatability of orthodontic responses g...

Comparative evaluation of ChatGPT, Gemini, and Grok in clinical decision-making and general knowledge assessment for impacted maxillary canines.

OBJECTIVE: This study aimed to compare extraction versus orthodontic eruption decisions for impacted...

Comparative Evaluation of ChatGPT-4o and Grok-3 on Cleft Lip and Palate and Presurgical Infant Orthopedics: A Multidisciplinary Assessment by Orthodontists, Pediatricians, and Plastic Surgeons.

Objective: This study aimed to evaluate and compare the accuracy, clarity, and clinical applicabilit...

Early prediction of orthodontic gingival enlargement using S100A4: a biomarker-based risk stratification model.

Orthodontic-induced gingival enlargement (OIGE) affects approximately 15-30% of patients undergoing ...

SERS spectrum of saliva combined with machine learning algorithm for early diagnosis and monitoring of periodontal disease.

To achieve non-invasive early diagnosis and severity monitoring of periodontal disease, this study e...

Deep Learning Photo Processing for Periodontitis Screening.

Late detection of periodontitis has significant health implications. Screening via oral images may s...

Multimodal deep learning for cephalometric landmark detection and treatment prediction.

In orthodontics and maxillofacial surgery, accurate cephalometric analysis and treatment outcome pre...

Multi-task reinforcement learning and explainable AI-Driven platform for personalized planning and clinical decision support in orthodontic-orthognathic treatment.

This study presents a novel clinical decision support platform for orthodontic-orthognathic treatmen...

Machine learning molecular dynamics reveals atomistic mechanisms of ion beam damage in calcium fluoride.

Calcium fluoride (CaF) crystals are regarded as ideal materials for optical components due to their ...

Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images.

Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodont...

Comment on "Deep Learning for Staging Periodontitis Using Panoramic Radiographs".

Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis.

Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 syst...

Exploring the complex interplay between oral infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs.

() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...

Building and Evaluating an Orthodontic Natural Language Processing Model for Automated Clinical Note Information Extraction.

INTRODUCTION: Malocclusion presents functional and aesthetic challenges, necessitating accurate diag...

Enzymatic carbon-fluorine bond cleavage by human gut microbes.

Fluorinated compounds are used for agrochemical, pharmaceutical, and numerous industrial application...

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

BACKGROUND: Environmental pollutants, particularly from air pollution and tobacco smoke, have emerge...

Comparative analysis of AI chatbot (ChatGPT-4.0 and Microsoft Copilot) and expert responses to common orthodontic questions: patient and orthodontist evaluations.

OBJECTIVE: The aim of this study was to evaluate the adequacy of responses provided by experts and a...

The potentials and challenges of integrating generative artificial intelligence (AI) in dental and orthodontic education: a systematic review.

BACKGROUND: Generative AI technologies offer significant opportunities to enhance orthodontic educat...

Automated periodontal assessment in orthodontic patients: a dual CNN framework.

OBJECTIVE: The aim of this study was to develop convolutional neural network (CNN)-based systems to ...