Dental Health

Prediction of facial profiles following orthodontic treatment in adult Class III patients using deep neural networks with feature fusion.

OBJECTIVE: This study proposed a cascaded framework based on deep neural networks that integrate cephalogram and landmark data to predict soft tissue profiles following orthodontic treatment in adult Class III patients. METHODS: Paired pretreatment and posttreatment lateral cephalograms from 334 adult Class III patients were annotated and superimposed to calculate landmark coordinates. A deep neur...

Prediction model for periodontitis stage based on the salivary microbiome.

This study aimed to characterize salivary microbiome compositions that can classify periodontal health and various stages of periodontitis. We collected saliva samples from 250 study subjects, including 100 periodontally healthy controls and 150 periodontitis patients in stages I/II/III. We performed 16S ribosomal RNA gene sequencing to characterize their salivary microbiomes. Alpha diversities sh...

Artificial intelligence for detecting orthodontic root resorption: A systematic review and meta-analysis of diagnostic accuracy.

BACKGROUND: External root resorption (ERR) and external cervical resorption (ECR) are common orthodontic complications with prognostic impact. Early, ...

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement.

BACKGROUND: Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly o...

Artificial Intelligence assisted diagnosis of impacted teeth other than third molars: A systematic review.

OBJECTIVE: To systematically evaluate current Artificial Intelligence (AI) based approaches for the diagnosis of impacted teeth other than third molar...

Multimodal Deep Learning-Based Screening of Degenerative Temporomandibular Joint Disease Using 2D Radiography: A Cost-Effective and Low-Radiation Approach.

OBJECTIVES: This study aimed to develop and preliminarily validate a multimodal deep learning model based on two-dimensional maxillofacial imaging for...

[Deep learning-based assessment of periodontal ligament area changes in maxillary central incisors under different orthodontic regimens using cone-beam CT images].

Objective: To investigate the differences in the changes of periodontal ligament area (PDLA) and related clinical indicators before and after maxillar...

A Biologically Lubricating Allicin-Based Nanoplatform for Remodeling the Inflammation-Senescence Axis in the Treatment of Periodontitis.

Periodontitis is driven by a self-reinforcing cycle of persistent inflammation and cellular senescence, further exacerbated by pathogenic microbial co...

Machine learning algorithms for predicting quality of life improvements after digital orthodontic treatment: a retrospective analysis.

BACKGROUND: Digital orthodontic treatment has revolutionized clinical practice, yet predicting individual patient outcomes remains challenging. This r...

Correction: Integrated network toxicology, machine learning and molecular docking reveal the mechanism of benzopyrene-induced periodontitis.

A predictive model for significant periodontal disease progression: A large-scale cohort study.

BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop and validate a machine learning model to identify ...

An overview of artificial intelligence applications in dentistry.

Artificial intelligence (AI) is a rapidly growing sector of technology in a variety of industries, especially healthcare. This literature review will ...

Prediction and risk factor analysis of dental implant failure using Cox regression and machine learning.

BACKGROUND: Survival analysis is commonly used to identify factors affecting dental implant longevity. While conventional studies typically employ the...

'OrthoQA' semantic search and question-answering tool for orthodontic education.

OBJECTIVE: To develop and systematically evaluate a domain-specific retrieval-augmented question-answering system, 'OrthoQA,' for orthodontic educatio...

Machine learning-guided Huanglian Jiedu decoction targets STING in periodontitis-induced Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with peripheral inflammatory conditions such as chronic p...

Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs.

OBJECTIVES: This study aimed to develop and compare two YOLOv12-based deep learning models-object detection and pose estimation-for the automatic clas...

Feasibility of predicting vertical cephalometric angles from panoramic radiographs using deep learning.

INTRODUCTION: Early identification of vertical skeletal discrepancies is essential for orthodontic diagnosis and treatment planning. Since panoramic r...

Aesthetic Component of the Index of Orthodontic Treatment Need (IOTN): Can large language models match the performance of orthodontists?

OBJECTIVE: The assessment of orthodontic treatment needs often involves subjective judgment, particularly when using esthetic indices such as the Aest...

Cariology in pediatric dentistry: An updated evidence-based narrative review.

Despite notable progress in understanding the pediatric dental caries area, its multifactorial etiology-including biofilm dynamics, dietary habits, ho...

Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing.

Electrospun poly(vinylidene fluoride-co-trifluoroethylene) (P(VDF-TrFE)) piezoelectric nanofibers are attractive for self-powered sensing owing to the...