Dental Health

Neuron-Inspired Ferroelectric Bioelectronics for Adaptive Biointerfacing.

Implantable bioelectronics, which are essential to neuroscience studies, neurological disorder treatment, and brain-machine interfaces, have become indispensable communication bridges between biological systems and the external world through sensing, monitoring, or manipulating bioelectrical signals. However, conventional implantable bioelectronic devices face key challenges in adaptive interfacin...

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. Responses to these questions were generated using three large language models: Ernie Bot, ChatGPT, and Gemini. The responses were evaluated across six dimensions: Professional Accuracy (PA), Accuracy of Content(AC), Clarity and Comprehensibility (CC),...

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...

Information from digital and human sources: A comparison of chatbot and clinician responses to orthodontic questions.

INTRODUCTION: This study aimed to investigate whether artificial intelligence (AI)-based chatbots can be used as reliable adjunct tools in orthodontic...

Efficacy of artificial intelligence in radiographic dental age estimation of patients undergoing dental maturation: A systematic review and meta-analysis.

BACKGROUND: Dental age (DA) estimation, crucial for appropriate orthodontic and paediatric treatment planning, traditionally relies on the analysis of...

Digital and artificial intelligence-assisted cephalometric training effectively enhanced students' landmarking accuracy in preclinical orthodontic education.

BACKGROUND: Digital cephalometric analyses, including those assisted by artificial intelligence (AI), are widely used in clinical practice. Similarly,...

Identification and Validation of Ferritinophagy-Related Biomarkers in Periodontitis.

OBJECTIVE: While ferritinophagy is believed to play a significant role in the development of periodontitis, the exact mechanisms remain unclear. This ...

Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients.

The precise and efficient diagnosis of an individual's skeletal class is necessary in orthodontics to ensure correct and stable treatment planning. Ho...

A Novel Hierarchical Cross-Stream Aggregation Neural Network for Semantic Segmentation of 3-D Dental Surface Models.

Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic treatment planning. Pioneering works like PointNet suggest...

A robust and omnidirectional-sensitive electronic antenna for tactile-induced perception.

Skin-like planar tactile sensors have achieved adaptive gripping, in-hand manipulation, and human-machine interaction but remain limited in tasks requ...

Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach.

BACKGROUND: Facial aesthetics is one of major motivations for seeking orthodontic treatment. However, even for experienced professionals, the impact a...

Effectiveness of AI-generated orthodontic treatment plans compared to expert orthodontist recommendations: a cross-sectional pilot study.

INTRODUCTION: Artificial intelligence (AI) has become a prominent focus in orthodontics.

Deciphering the Pharmacological Potential of Kouqiangjie Formula for the Treatment of Diabetic Periodontitis Based on Network Pharmacology, Machine Learning, Molecular Dynamics, and Animal Experiments.

BACKGROUND: Periodontitis (PD) and type 2 diabetes mellitus (T2DM) represent interlinked global health burdens, commonly causing significant clinical ...

Artificial intelligence models for periodontitis classification: A systematic review.

OBJECTIVES: The graded diagnosis of periodontitis has always been a difficulty for dentists. This systematic review aimed to investigate the performan...

Estimating Periodontal Stability Using Computer Vision.

Periodontitis is a severe infection affecting oral and systemic health and is traditionally diagnosed through clinical probing-a process that is time-...