Dental Health

Prompt sensitivity of large language models in orthodontic patient counseling: a scenario-based experimental study.

BACKGROUND: Large language models (LLMs) are increasingly used as accessible sources of health information, including orthodontic patient counseling. While previous studies have evaluated the accuracy and reliability of AI-generated responses, the effect of prompt formulation on the safety and quality of orthodontic advice remains unclear. Understanding prompt sensitivity is essential for assessin...

Zero-shot detection of apical periodontitis on periapical radiographs using multimodal large language models: diagnostic accuracy and error patterns.

BACKGROUND: The present study evaluated the diagnostic performance of three general-purpose multimodal large language models (MLLMs)-Claude 4.5 Sonnet, GPT-5.2 Thinking, and Gemini 3.0 Pro-in detecting apical periodontitis on periapical radiographs. METHODS: One hundred twenty periapical radiographs were included (60 apical periodontitis-positive and 60 healthy), retrieved from routine clinical re...

Impact of cone-beam computed tomography image quality on artificial intelligence-driven three-dimensional tooth segmentation and evaluation of external apical root resorption.

OBJECTIVES: To assess the reliability of the diagnostic method using Diagnocat artificial intelligence (AI)-generated standard tessellation language (...

Q-Bone system: an intelligent quantitative system for alveolar bone loss to assist the diagnosis of periodontitis - model development and validation.

OBJECTIVES: To develop and validate the Q-Bone system, an intelligent quantitative system for anatomically driven assessment of alveolar bone loss and...

Concentration-transferable deep potential molecular dynamics: unraveling component-structure-transport in molten LiF-BeF2-EuF2.

Understanding how the soluble fission product EuF2 influences the structure and properties of the molten LiF-BeF2 (FLiBe) carrier salt is crucial for ...

Predicting Perceived Profile Attractiveness From Cephalometric Measurements Using Machine Learning.

OBJECTIVES: Orthodontic treatment planning requires careful consideration of facial aesthetics. This study aimed to compare machine learning (ML) mode...

Single-model deep learning approach for simultaneous cervical vertebral maturation staging and skeletal jaw relationship on lateral cephalograms using YOLOv8 and CNN.

BACKGROUND: This study aimed to develop an integrated artificial intelligence (AI) pipeline for cervical vertebral maturation (CVM) staging and skelet...

Machine Learning-Based Prediction of Dental Caries in 12-Year-Old Adolescents: A Nationwide Cross-Sectional Study in Korea.

OBJECTIVE: We aimed to develop and evaluate machine learning models to support population-level risk stratification for dental caries in the permanent...

Machine Learning-Accelerated Molecular Dynamics Simulations of PuF3 in LiF-NaF-KF: Unraveling Coordination Chemistry and Ionic Transport Mechanisms.

A thorough understanding of the microstructural evolution and thermophysical properties of Pu-containing molten salts is crucial for optimizing the pe...

Comparing Deep Learning Models for Identifying Maxillary Transverse Deficiency from Intraoral Photographs.

INTRODUCTION AND AIMS: Maxillary transverse deficiency (MTD) is conventionally evaluated using cone-beam computed tomography (CBCT), which entails inc...

Integrated bioinformatics and machine learning for shared diagnostic genes and mechanisms between periodontitis and psoriasis.

BACKGROUND: Periodontitis and psoriasis are two prevalent conditions that are bidirectionally associated. However, the molecular basis remains poorly ...

Experimental validation of an AI-driven digital healthcare platform for oral health behavior and plaque assessment among vietnamese children.

BACKGROUND: Oral health among children in developing countries, including Vietnam, remains a significant public health concern. Innovative approaches ...

Transformer-based models in dentistry: a systematic review.

BACKGROUND: Transformer-based architectures have rapidly gained prominence in medical imaging due to their ability to model long-range dependencies an...

AI in orthodontic treatment planning: a systematic review comparing learning approaches.

BACKGROUND: Artificial intelligence has increasingly been applied to orthodontic diagnosis and treatment planning. Clinical decision-making in orthodo...

Multi-Omics Integration Reveals the Genetic Mechanisms of Periodontitis and Predicts Therapeutic Drugs.

BACKGROUND: Periodontitis is a chronic inflammatory disease driven by host immune dysregulation. However, the specific genetic regulatory mechanisms u...

Application of machine learning models for water quality prediction in a coal-mining region: Insights into fluoride and phenol contamination in Dhanbad District, Eastern India.

Water quality degradation in mining-dominated regions poses a significant challenge due to the combined effects of geogenic processes and anthropogeni...

Role-based evaluation of artificial intelligence chatbot responses in orthodontic emergency scenarios: accuracy, readability, understandability, and patient-oriented communication.

OBJECTIVES: This study investigated role-based differences in the accuracy, readability, understandability, and internal consistency of chatbot respon...

Progress of Non-Aqueous Liquid Electrolytes for High-Voltage Sodium-Ion Batteries.

Due to their significant resource-economic advantages, sodium-ion batteries are gradually becoming an important alternative to lithium-ion batteries i...

Non-invasive periodontal screening using self-reported-oral-health (SROH) questionnaire and salivary biomarkers: development and validation of machine learning models.

BACKGROUND: Accurate and accessible screening tools for periodontitis are essential for early detection and disease prevention. This study evaluated a...

A pH-Responsive Antimicrobial Peptide Coating with Efficient Antibacterial Activity and Preserved Oral Microbiota Homeostasis during Clear Aligner Treatment.

Bacterial adhesion and biofilm formation pose significant clinical challenges in clear aligner therapy, adversely affecting both oral health and aesth...