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Dental Health

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

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Showing 64-84 of 5,021 articles
Recent advances in groundwater pollution research using machine learning from 2000 to 2023: A bibliometric analysis.

Groundwater pollution has become a global challenge, posing significant threats to human health and ...

Biofilm architecture and dynamics of the oral ecosystem.

The oral cavity, being a nutritionally enriched environment, has been proven to be an ideal habitat ...

Antimicrobial activity of L. Pers against periodontal pathogen: .

BACKGROUND: is widely recognised as a periodontal pathogen. In recent years, there has been growing...

Machine Learning and Mendelian Randomization Reveal Molecular Mechanisms and Causal Relationships of Immune-Related Biomarkers in Periodontitis.

This study aimed to investigate the molecular mechanisms of periodontitis and identify key immune-re...

Oral Microbe Community and Pyramid Scene Parsing Network-based Periodontitis Risk Prediction.

BACKGROUND: Periodontitis (PD) is a common chronic inflammatory disease affecting the gums and suppo...

Genetic analysis of potential markers and therapeutic targets for immunity in periodontitis.

OBJECTIVE: Periodontitis is a chronic inflammatory periodontal disease resulting in destroyed period...

A personalized periodontitis risk based on nonimage electronic dental records by machine learning.

OBJECTIVE: This study aimed to develop a machine-learning (ML) model to predict the risk for Periodo...

Explainable Deep Learning Approaches for Risk Screening of Periodontitis.

Several pieces of evidence have been reported regarding the association between periodontitis and sy...

A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning-Assisted Diagnosis.

Currently, the diagnosis of malocclusion is a highly demanding process involving complicated examina...

Training, use, and modifications related to artificial intelligence in postgraduate orthodontic programs in North America.

INTRODUCTION: The use of artificial intelligence (AI) is growing quickly and has already had a signi...

Automatic 3-dimensional quantification of orthodontically induced root resorption in cone-beam computed tomography images based on deep learning.

INTRODUCTION: Orthodontically induced root resorption (OIRR) is a common and undesirable consequence...

Artificial intelligence for orthodontic diagnosis and treatment planning: A scoping review.

OBJECTIVES: To provide an overview of artificial intelligence (AI) applications in orthodontic diagn...

Segmentation of periapical lesions with automatic deep learning on panoramic radiographs: an artificial intelligence study.

Periapical periodontitis may manifest as a radiographic lesion radiographically. Periapical lesions ...

Enhancing local-scale groundwater quality predictions using advanced machine learning approaches.

Assessing groundwater quality typically involves labor-intensive, time-consuming, and costly laborat...

Comparison of semi and fully automated artificial intelligence driven softwares and manual system for cephalometric analysis.

BACKGROUND: Cephalometric analysis has been used as one of the main tools for orthodontic diagnosis ...

Deep learning method to automatically diagnose periodontal bone loss and periodontitis stage in dental panoramic radiograph.

OBJECTIVES: Artificial intelligence (AI) could be used as an automatically diagnosis method for dent...

Biomechanical simulation of segmented intrusion of a mandibular canine using Robot Orthodontic Measurement & Simulation System (ROSS).

OBJECTIVE: Aim of this study was to investigate the forces and moments during segmented intrusion of...

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