Dental Health

Temporal Deep Learning for Predicting Periodontitis Progression Using Longitudinal Gingival Crevicular Fluid Protein Profiles

Background: Conventional clinical indicators of periodontitis progression detect disease after irreversible tissue destruction has occurred. Molecular biomarkers in gingival crevicular fluid (GCF) offer potential for earlier detection, but existing analytical approaches rely on cross-sectional snapshots that fail to capture the temporal dynamics of disease evolution. Aim: To develop and validate a...

Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language Models

Digital dentistry has made significant advances with the advent of deep learning. However, the majority of these deep learning-based dental image analysis models focus on very specific tasks such as tooth segmentation, tooth detection, cavity detection, and gingivitis classification. There is a lack of a specialized model that has holistic knowledge of teeth and can perform dental image analysis t...

Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

OBJECTIVES: This study evaluated the performance of a multi-stage Segmentation Residual Network (SegResNet)-based deep learning (DL) model for the aut...

Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment

In pediatric orthodontics, accurate estimation of growth potential is essential for developing effective treatment strategies. Our research aims to ...

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation

Digital orthodontics represents a prominent and critical application of computer vision technology in the medical field. So far, the labor-intensive...

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns

Periodontitis, a chronic inflammatory disease causing alveolar bone loss, significantly affects oral health and quality of life. Accurate assessment...

PVDF-based solid polymer electrolytes for lithium-ion batteries: strategies in composites, blends, dielectric engineering, and machine learning approaches.

Solid polymer electrolytes (SPEs) present a viable alternative to organic carbonates typically used as liquid electrolytes in lithium-ion batteries (L...

A Comprehensive Exploration of Groundwater Quality of Ambagarh Chowki Region, Chhattisgarh, India: Water Quality Index, Health Risk, and ANN Predictive Modeling.

Access to safe and clean drinking water remains a critical global challenge, with groundwater as a primary source for billions of people. Further, tox...

THERE: Toward an easy and reliable tool for automatic cephalometric analysis.

BACKGROUND: Cephalometric analysis in orthodontics is a meticulous process requiring high precision in identifying anatomical landmarks on lateral cep...

Comparison of deep learning models for facial attractiveness assessment on 3D photos.

OBJECTIVES: Convolutional neural networks (CNNs) have demonstrated remarkable success in orthodontics. This study aimed to evaluate the accuracy and p...

PET imaging of atherosclerosis: artificial intelligence applications and recent advancements.

PET imaging has become a valuable tool for assessing atherosclerosis by targeting key processes such as inflammation and microcalcification. Among ava...

AI-AIDED VOLUMETRIC ROOT RESORPTION ASSESSMENT FOLLOWING PERSONALIZED FORCES IN ORTHODONTICS: PRELIMINARY RESULTS OF A RANDOMIZED CLINICAL TRIAL.

INTRODUCTION: External apical root resorption (EARR) is an undesirable loss of hard tissues of the tooth root frequently affecting to the maxillary in...

Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework.

Accurate classification of midpalatal suture maturation stages is critical for orthodontic diagnosis, treatment planning, and the assessment of maxill...

Real-time segmentation and detection of ponticulus posticus in lateral cephalometric radiographs using YOLOv8: a step towards enhanced clinical evaluation.

OBJECTIVES: Ponticulus posticus (PP) is a bony structure in the cervical spine, often difficult to identify in radiographic images, and its detection ...

Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients.

BACKGROUND: Classification is one of the most common tasks in artificial intelligence (AI) driven fields in dentistry and orthodontics. The AI abiliti...

Annexin A2 Contributes to Release of Extracellular Vimentin in Response to Inflammation.

Vimentin, an abundant intracellular cytoskeletal protein, is secreted into the extracellular space, where it can amplify tissue destruction in inflamm...

Machine-Learning-Guided Screening of Advantageous Solvents for Solid Polymer Electrolytes in Lithium Metal Batteries.

Trace residual solvents in solid polymer electrolytes (SPEs) significantly affect electrolyte and interface properties, where optimal selection enhanc...

A Global-Local Attention Model for 3D Point Cloud Segmentation in Intraoral Scanning: A Novel Approach.

Intraoral scanners (IOS) provide high-precision 3D data of teeth and gingiva, critical for personalized orthodontic diagnosis and treatment planning....

AI-Driven Dental Caries Management Strategies: From Clinical Practice to Professional Education and Public Self Care.

Dental caries is one of the most prevalent chronic diseases among both children and adults, despite being largely preventable. This condition has sign...

Towards Better Cephalometric Landmark Detection with Diffusion Data Generation

Cephalometric landmark detection is essential for orthodontic diagnostics and treatment planning. Nevertheless, the scarcity of samples in data coll...