Dental Health

Deep learning-based localization of bounded edentulous spaces in intraoral occlusal images

This study developed a deep learning pipeline to localize bounded edentulous spaces with missing teeth FDI number directly from intraoral photographs, eliminating reliance on radiographs or controlled imaging. A total of 4,373 intraoral occlusal images were included in the study. Of these, 367 images with at least one bounded edentulous space were held out for pipeline evaluation. The remaining 4,...

Oral Rinse Sourced Microbiota in Oral Health and Disease in a Representative U.S. Adult Population

This study reports genus-level oral rinse microbiota profiles in a population of 3,770 U.S. adults from NHANES 2009–2012. Oral conditions explained more microbial variance than host factors, with diversity and composition differing across health, caries, periodontitis, co-occurring disease, and edentulism. In periodontitis, diversity increased alongside a shift toward anaerobic, inflammation-adapt...

Trajectory-Informed Breathomics for Dynamic Mapping of Health and Disease: Toward a Health Navigation Framework

Most diagnostic frameworks treat disease as static, overlooking its inherently dynamic and continuous progression. Noninvasive biomarkers capable of c...

Multi-domain Identification of Myocardial Infarction Incidence using Explainable AI: The Overlooked Role of Periodontal Health

Myocardial infarction (MI) is a major global health concern influenced by diverse risk factors. Despite growing evidence of oral– systemic connections...

Implications of artificial intelligence in periodontal treatment maintenance: a scoping review.

Gingivitis and periodontitis, are widespread conditions with diverse influence on oral and systemic health. Traditional diagnostic methods in periodon...

IL7-IL7R Interaction Mediates Fibroblast-Driven Macrophage-to-Osteoclast Differentiation in Periodontitis.

AIM: To identify osteoclastogenic macrophage subsets and their regulatory mechanisms in periodontitis.

Periodontitis diagnosis: A review of current and future trends in artificial intelligence.

BACKGROUND: Artificial intelligence (AI) acts as the state-of-the-art in periodontitis diagnosis in dentistry. Current diagnostic challenges include e...

Assessment of virtual bracket removal by artificial intelligence and thermoplastic retainer fit.

INTRODUCTION: Digital orthodontics is here to make our specialty more efficient, and the integration of artificial intelligence (AI) is no exception. ...

Role of fatty acid metabolism-related genes in periodontitis based on machine learning and bioinformatics analysis.

OBJECTIVES: This study aims to investigate the role of genes related to fatty acid metabolism in periodontitis through machine learning and bioinforma...

[Artificial intelligence-supported clear aligner orthodontic technology].

With the advancement of digital healthcare and artificial intelligence (AI) technologies, the full automation of clear aligner orthodontic technology ...

How reliable is the artificial intelligence product large language model ChatGPT in orthodontics?

OBJECTIVES: To evaluate the reliability of information produced by the artificial intelligence-based program ChatGPT in terms of accuracy and relevanc...

MotIF: Motion Instruction Fine-tuning

While success in many robotics tasks can be determined by only observing the final state and how it differs from the initial state - e.g., if an app...

Visual Compositional Data Analytics for Spatial Transcriptomics

For the Bio+Med-Vis Challenge 2024, we propose a visual analytics system as a redesign for the scatter pie chart visualization of cell type proporti...

A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial

Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic dis...

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

OBJECTIVES: To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and ...

Integrating artificial intelligence: A step forward in orthodontic education.

Artificial intelligence models in generating responses to general orthodontic questions: Comment.

Content analysis of AI-generated (ChatGPT) responses concerning orthodontic clear aligners.

OBJECTIVES: To assess the accuracy of ChatGPT answers concerning orthodontic clear aligners.

Comparison of deep learning methods for the radiographic detection of patients with different periodontitis stages.

OBJECTIVES: The objective of this study is to assess the accuracy of computer-assisted periodontal classification bone loss staging using deep learnin...

[Automated cephalometric landmark identification and location based on convolutional neural network].

To develop an automated landmark location system applicable to the case of landmark missing. Four and eighty-one lateral cephalograms, which contain...