Primary Care

Dental Health

Latest AI and machine learning research in dental health for healthcare professionals.

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Co-operative effect of exogenous dextranase and sodium fluoride on multispecies biofilms.

BACKGROUND/PURPOSE: The co-operative effect of exogenous dextranase (Dex) and sodium fluoride (NaF) ...

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 (Seg...

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 ...

Advances in the application of 18 F-sodium fluoride PET in the assessment of atherosclerosis.

Atherosclerosis serves as the primary cause of cardiovascular diseases (CVDs), with its pathological...

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

BACKGROUND: Cephalometric analysis in orthodontics is a meticulous process requiring high precision ...

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 t...

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

OBJECTIVES: Convolutional neural networks (CNNs) have demonstrated remarkable success in orthodontic...

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...

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...

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 fi...

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

Vimentin, an abundant intracellular cytoskeletal protein, is secreted into the extracellular space, ...

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 in...

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 personal...

APD-FFNet: A Novel Explainable Deep Feature Fusion Network for Automated Periodontitis Diagnosis on Dental Panoramic Radiography.

OBJECTIVES: This study introduces APD-FFNet, a novel, explainable deep learning architecture for aut...

The impact of artificial intelligence on orthodontics: a systematic review of applications and implications.

INTRODUCTION: Artificial intelligence (AI) has emerged as a revolutionary technology with diverse ap...

[Artificial intelligence-based multimodal fusion diagnosis: advances in precision diagnosis of periodontitis].

Periodontitis is a globally prevalent inflammatory oral disease, affecting approximately 50% of the ...

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