Dental Health

Multi-task reinforcement learning and explainable AI-Driven platform for personalized planning and clinical decision support in orthodontic-orthognathic treatment.

This study presents a novel clinical decision support platform for orthodontic-orthognathic treatment that integrates multi-task reinforcement learning with explainable artificial intelligence. The platform addresses the challenges of personalized treatment planning in complex dentofacial deformities by formulating treatment as a sequential decision-making process optimizing multiple clinical obje...

Machine learning molecular dynamics reveals atomistic mechanisms of ion beam damage in calcium fluoride.

Calcium fluoride (CaF) crystals are regarded as ideal materials for optical components due to their excellent ultraviolet (UV) transmittance and optical anisotropy. High-precision and low-damage CaF crystals can be prepared by ion beam processing, but the atomic-scale surface and interfacial stability under ion beam processing remains poorly understood. In this paper, a machine learning potential ...

Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images.

Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limit...

Comment on "Deep Learning for Staging Periodontitis Using Panoramic Radiographs".

Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis.

Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 systemic diseases. Despite advancements, precision med...

Exploring the complex interplay between oral infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs.

() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, adverse pregnancy outcomes, and colorectal cancer ...

Building and Evaluating an Orthodontic Natural Language Processing Model for Automated Clinical Note Information Extraction.

INTRODUCTION: Malocclusion presents functional and aesthetic challenges, necessitating accurate diagnosis and treatment. However, variability in ortho...

Enzymatic carbon-fluorine bond cleavage by human gut microbes.

Fluorinated compounds are used for agrochemical, pharmaceutical, and numerous industrial applications, resulting in global contamination. In many mole...

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

BACKGROUND: Environmental pollutants, particularly from air pollution and tobacco smoke, have emerged as significant risk factors. Benzopyrene (BaP), ...

Comparative analysis of AI chatbot (ChatGPT-4.0 and Microsoft Copilot) and expert responses to common orthodontic questions: patient and orthodontist evaluations.

OBJECTIVE: The aim of this study was to evaluate the adequacy of responses provided by experts and artificial intelligence-based chatbots (ChatGPT-4.0...

The potentials and challenges of integrating generative artificial intelligence (AI) in dental and orthodontic education: a systematic review.

BACKGROUND: Generative AI technologies offer significant opportunities to enhance orthodontic education by improving knowledge retention, clinical dec...

Automated periodontal assessment in orthodontic patients: a dual CNN framework.

OBJECTIVE: The aim of this study was to develop convolutional neural network (CNN)-based systems to diagnose calculus, plaque, gingival hyperplasia an...

Neuron-Inspired Ferroelectric Bioelectronics for Adaptive Biointerfacing.

Implantable bioelectronics, which are essential to neuroscience studies, neurological disorder treatment, and brain-machine interfaces, have become in...

Comparing orthodontic pre-treatment information provided by large language models.

This study collected and screened the 50 most common pre-treatment consultation questions from adult orthodontic patients through clinical practice. R...

Multi-technique computational assessment of fluoride uptake in enamel using PIGE, NEXAFS, and Raman spectroscopy.

The uptake of fluoride in the enamel matrix is an effective strategy to prevent demineralization and caries formation. In this study a comprehensive m...

Impact of type 2 diabetes mellitus on apical periodontitis size, endotoxin levels and bacterial load in root canals with necrotic pulp.

INTRODUCTION: This clinical study was conducted to describe the endodontic microbiological profile of teeth with apical periodontitis in patients with...

Periodontal disease in adolescents with type 1 diabetes mellitus: A cross link between continuous glucose monitoring-derived metrics, caspase-3 levels, diabetic nephropathy and subclinical atherosclerosis.

BACKGROUND: Periodontitis can lead to the development of atherosclerotic heart disease.

Evaluation of alveolar bone preservation and oxidative stress reduction with açai in Wistar rats with induced apical periodontitis.

AIM: This study aimed to investigate the effects of açai on bone and systemic damage caused by apical periodontitis (AP) in an animal model.

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

Atherosclerosis serves as the primary cause of cardiovascular diseases (CVDs), with its pathological processes encompassing lipid deposition, inflamma...

Integrated bioinformatics, machine learning, and molecular docking reveal crosstalk genes and potential drugs between periodontitis and systemic lupus erythematosus.

Evidence indicates a connection between periodontitis (PD) and systemic lupus erythematosus (SLE), though the underlying co-morbid mechanisms remain u...