Primary Care

Dental Health

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

5,021 articles
Stay Ahead - Weekly Dental Health research updates
Subscribe
Browse Specialties
Showing 148-168 of 5,021 articles
Clinical and oral microbiome pattern of halitosis patients with periodontitis and gingivitis.

Halitosis is caused by a bacterial proteolytic process that induces the production of volatile sulfu...

Modeling contact forces during human-robot interactions for performing activities of daily living.

This study aims to characterize contact forces between humans and tools during activities of daily l...

A family-centered orthodontic screening approach using a machine learning-based mobile application.

BACKGROUND/PURPOSE: Skeletal orthodontic deformities can have functional and aesthetic consequences,...

A machine learning model for orthodontic extraction/non-extraction decision in a racially and ethnically diverse patient population.

INTRODUCTION: The purpose of the present study was to create a machine learning (ML) algorithm with ...

Effectiveness of AI-driven remote monitoring technology in improving oral hygiene during orthodontic treatment.

OBJECTIVE: This study aimed to evaluate the effectiveness of Dental Monitoringâ„¢ (DMâ„¢) Artificial Int...

XGBoost-aided prediction of lip prominence based on hard-tissue measurements and demographic characteristics in an Asian population.

INTRODUCTION: Prediction of lip prominence based on hard-tissue measurements could be helpful in ort...

Diagnostic accuracy of AI in orthodontic extraction decisions: "Are we ready to let Mr. Data run our Enterprise?" A commentary on a systematic review.

OBJECTIVE: To collect evidence on the ability of artificial intelligence programs to accurately make...

High-performance and low-power source-gated transistors enabled by a solution-processed metal oxide homojunction.

Cost-effective fabrication of mechanically flexible low-power electronics is important for emerging ...

Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.

Using computer vision through artificial intelligence (AI) is one of the main technological advances...

Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis.

Lateral cephalograms and related analysis constitute representative methods for orthodontic treatmen...

Neural network ensemble model for prediction of erythrocyte sedimentation rate (ESR) using partial least squares regression.

The erythrocyte sedimentation rate (ESR) is a non-specific blood test for determining inflammatory c...

Quantification and comparison of the regional acceleratory phenomenon in bone following piezosurgery or bur osteotomy: A pilot study in rats.

BACKGROUND/OBJECTIVE: The Regional Acceleratory Phenomenon (RAP) can be induced surgically via decor...

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.

Accurately segmenting teeth and identifying the corresponding anatomical landmarks on dental mesh mo...

Application of deep learning artificial intelligence technique to the classification of clinical orthodontic photos.

BACKGROUND: Taking facial and intraoral clinical photos is one of the essential parts of orthodontic...

Accuracy of artificial intelligence for tooth extraction decision-making in orthodontics: a systematic review and meta-analysis.

OBJECTIVE: This study aimed to analyze the accuracy of artificial intelligence (AI) for orthodontic ...

Browse Specialties