Dental Health

Development of a Microforce Sensor and Its Array Platform for Robotic Cell Microinjection Force Measurement.

Robot-assisted cell microinjection, which is precise and can enable a high throughput, is attracting interest from researchers. Conventional probe-type cell microforce sensors have some real-time injection force measurement limitations, which prevent their integration in a cell microinjection robot. In this paper, a novel supported-beam based cell micro-force sensor with a piezoelectric polyvinyli...

Fibrinogen Degradation Products and Periodontitis: Deciphering the Connection.

INTRODUCTION: Fibrinogen degradation products (e.g. D-dimer) arise from digested fibrin clots and fibrinogen. Elevated concentrations accompany activation of coagulation and fibrinolysis and indicate chronic inflammatory diseases. D-Dimer tests are a quick, noninvasive method to rule out abnormal clotting. Periodontitis strongly affects the haemostatic system and evokes a procoagulant state. Corre...

Co-operative effect of exogenous dextranase and sodium fluoride on multispecies biofilms.

BACKGROUND/PURPOSE: The co-operative effect of exogenous dextranase (Dex) and sodium fluoride (NaF) on monospecies biofilms is impressive. Here we in...

3D Geometric Tooth Alignment Planning via Deep Reinforcement Learning

3D geometric tooth alignment planning, which determines sequential trajectories from initial malocclusion to the final target alignment, is a cornerst...

Deep Spectral Models for Robust Dental Shape Generation

Accurate modeling of dental crown morphology is fundamental for diagnosis, orthodontic planning, and computer-aided restoration design. However, datas...

Accuracy and Consistency of Frontier LLMs on Orthodontic Diagnostic Tasks: A Repeated-Trial Comparison

Importance. Large language models are increasingly explored as clinical decision support tools in orthodontics, yet existing evaluations have been con...

Machine Learning-Driven Multiplexed Biomarker Detection with Polymer-Enhanced Electrochemical Sensors

Biomarkers in sweat and saliva offer a promising avenue for non-invasive health monitoring. Electrochemical sensors have the potential to measure such...

Severe Periodontitis Biomarker Identification by Deep Salivary Proteome Profiling with Astral DIA Mass Spectrometry

Aim: To comprehensively characterize the salivary proteome in periodontitis using Orbitrap Astral data-independent acquisition mass spectrometry (DIA-...

Progressive Deep Learning for Automated Spheno-Occipital Synchondrosis Maturation Assessment

Accurate assessment of spheno-occipital synchondrosis (SOS) maturation is a key indicator of craniofacial growth and a critical determinant for orthod...

Deciphering Environmental Health Factors Behind Unknown Etiology of Chronic Kidney Disease in South Asia: Plans for Epidemiologic Study

Chronic kidney disease of unknown etiology (CKDu) has emerged as an important public health challenge, particularly in agricultural communities across...

Temporal Deep Learning for Predicting Periodontitis Progression Using Longitudinal Gingival Crevicular Fluid Protein Profiles

Background: Conventional clinical indicators of periodontitis progression detect disease after irreversible tissue destruction has occurred. Molecular...

Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language Models

Digital dentistry has made significant advances with the advent of deep learning. However, the majority of these deep learning-based dental image anal...

Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

OBJECTIVES: This study evaluated the performance of a multi-stage Segmentation Residual Network (SegResNet)-based deep learning (DL) model for the aut...

Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment

In pediatric orthodontics, accurate estimation of growth potential is essential for developing effective treatment strategies. Our research aims to ...

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation

Digital orthodontics represents a prominent and critical application of computer vision technology in the medical field. So far, the labor-intensive...

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns

Periodontitis, a chronic inflammatory disease causing alveolar bone loss, significantly affects oral health and quality of life. Accurate assessment...

PVDF-based solid polymer electrolytes for lithium-ion batteries: strategies in composites, blends, dielectric engineering, and machine learning approaches.

Solid polymer electrolytes (SPEs) present a viable alternative to organic carbonates typically used as liquid electrolytes in lithium-ion batteries (L...

A Comprehensive Exploration of Groundwater Quality of Ambagarh Chowki Region, Chhattisgarh, India: Water Quality Index, Health Risk, and ANN Predictive Modeling.

Access to safe and clean drinking water remains a critical global challenge, with groundwater as a primary source for billions of people. Further, tox...

THERE: Toward an easy and reliable tool for automatic cephalometric analysis.

BACKGROUND: Cephalometric analysis in orthodontics is a meticulous process requiring high precision in identifying anatomical landmarks on lateral cep...

Comparison of deep learning models for facial attractiveness assessment on 3D photos.

OBJECTIVES: Convolutional neural networks (CNNs) have demonstrated remarkable success in orthodontics. This study aimed to evaluate the accuracy and p...