Dental Health

Data-Driven, Mechanistically Guided Prediction of Yield and Chemoselectivity in SuFEx Reactions.

Sulfur(VI) fluoride exchange (SuFEx) has emerged as a powerful click reaction for constructing diverse S(VI)-based linkages across chemical biology, materials science, and drug discovery. However, the diversity of SuFEx hubs and native nucleophiles generates a high-dimensional reaction landscape in which yields and chemoselectivities are not always straightforward to anticipate, limiting its predi...

Artificial intelligence for predicting the pubertal growth spurt using cephalometric and hand-wrist radiographs: a systematic review and meta-analysis.

INTRODUCTION: The optimal timing of dentofacial orthopedic and growth-modifying orthodontic interventions depends on accurate assessment of skeletal maturation, particularly the pubertal growth spurt (PGS). This systematic review and meta-analysis evaluated the performance of artificial intelligence (AI) models for identifying the PGS from cephalometric and hand-wrist radiographs and compared thei...

Assessment of the accuracy of automated tooth segmentation using different orthodontic platforms and models with a large-scale clinical applicability.

BACKGROUND/OBJECTIVES: Tooth segmentation remains the most time-consuming task during model preparation for digital orthodontic setup. This study aime...

Integrating deep learning techniques for analysis of chin morphology among Han Chinese individuals using a large cone-beam computed tomography dataset.

OBJECTIVES: To characterize chin morphology and investigate its associations with sex, as well as various sagittal and vertical skeletal patterns. MAT...

Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images.

OBJECTIVES: To evaluate the accuracy of an artificial intelligence (AI) model developed by DentalMonitoring for assessing occlusal parameters from pat...

Comparative analysis of generative pre-trained transformers for text- and image-based cephalometric prompts using a novel Artificial Intelligence Based Diagnosis and Treatment Planning Index (AIDTI).

INTRODUCTION: The aim of this study was to compare the response capabilities of generative pre-trained transformers (GPTs) for identical lateral cepha...

Machine Learning and Clustering Analysis of Class II and III Malocclusions.

OBJECTIVES: This prospective observational study aims to accurately classify individuals as skeletal class II/III by applying several machine-learning...

Clinically oriented deep learning system integrating linear and morphological assessment for external orthodontic root resorption.

INTRODUCTION: Manual linear assessment, a classic method for evaluating orthodontic external root resorption (OERR), has limitations: unreliable dento...

Unveiling Hydrogen Fluoride Emission Mechanisms in Municipal Solid Waste Incineration Using a Machine Learning Approach.

Hydrogen fluoride (HF) emissions from municipal solid waste incineration (MSWI) pose significant environmental and health risks. However, their comple...

Stage-Associated Subgingival Dysbiosis Across the Periodontal Disease Spectrum in a Thai Cohort.

AIMS: This cross-sectional study aimed to investigate the subgingival microbiota and predict functional profiles across the 2018 EFP/AAP periodontal d...

Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone beam tomography slices.

OBJECTIVES: This study aimed to evaluate the performance of three pre-trained deep learning models (ResNet50, MobileNetV2, and EfficientNetB0) in the ...

Three-dimensional stability during orthodontic retention: A comparative analysis of conventional, CAD/CAM-fabricated, and robotically bent fixed retainers versus removable appliances.

OBJECTIVES: To evaluate three-dimensional anterior tooth position changes during orthodontic retention and to compare the effectiveness of three disti...

Advances in the application of finite element analysis in the diagnosis and treatment of cleft lip and palate and alveolar cleft.

Cleft lip and palate (CLP) and alveolar cleft are common congenital craniofacial anomalies, with postoperative maxillary hypoplasia and secondary defo...

Prediction of unerupted canines and premolars widths in an Emirati population: development and validation of regression and machine learning models.

This study aimed to develop a more accurate model for predicting the widths of unerupted canines and premolars in Emirati children, using deep learnin...

Machine learning reveals microbiome differences by periodontitis severity.

Periodontitis is a chronic inflammatory disease driven by microbial dysbiosis, yet the microbial signatures associated with severity remain incomplete...

Screening for Periodontitis Using Blood Biomarkers and Demographic Data: A Machine Learning Study.

PURPOSE: Periodontitis is a common chronic disease associated with systemic conditions such as diabetes and cardiovascular disease. Diagnosis typicall...

Deep learning-based tooth axis estimation from 3D tooth crowns using quaternion representation and multi-loss optimization.

Tooth axis estimation plays a key role in various digital dental workflows, including orthodontic diagnosis and prosthetic design. In clinical practic...

Comparing Facial Attractiveness and Professional Acceptance Between Real and AI-Generated Orthodontic Treatment Outcome Images.

BACKGROUND: Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of a...

Accuracy of cephalometric landmark identification on artificial intelligence-based software: a comparative study.

INTRODUCTION: Cephalometry has long been a cornerstone of orthodontic diagnosis and treatment planning. While traditionally performed manually, cephal...

National-scale prediction of arsenic, fluoride and its co-occurrence in groundwater of Mexico: Implications for drinking-water.

Arsenic (As) and fluoride (F-) in groundwater pose significant health risks and frequently co-occur in arid and semi-arid settings. We assembled a dat...