Latest AI and machine learning research in dental health for healthcare professionals.
Periodontitis is a globally prevalent inflammatory oral disease, affecting approximately 50% of the population worldwide and imposing a substantial burden on patients' health and quality of life. Early and accurate diagnosis is critical for preventing disease progression; however, conventional diagnostic approaches often rely on subjective clinical assessments, which only primarily evaluate the cu...
INTRODUCTION: Artificial intelligence (AI) has emerged as a revolutionary technology with diverse applications across various domains, orthodontics included. This review article explores the widespread applications of AI in orthodontics and discusses the advantages and potential implications of AI in this specialized domain. The use of AI algorithms and machine learning techniques has shown promis...
OBJECTIVES: This study introduces APD-FFNet, a novel, explainable deep learning architecture for automated periodontitis diagnosis using panoramic rad...
PURPOSE: The aim of this investigation was to evaluate the accuracy of various skeletal and dental cephalometric parameters as produced by different c...
In orthodontic treatment, the biological response of the tooth, periodontal ligament, and bone complex to orthodontic force is crucial in influencin...
Achieving meticulous segmentation of tooth point clouds from intra-oral scans stands as an indispensable prerequisite for various orthodontic applic...
OBJECTIVES: Periodontitis is a serious periodontal infection that damages the soft tissues and bone around teeth and is linked to systemic conditions....
Identifying anatomical landmarks in 3D dental models is vital for orthodontic treatment, yet manual placement is complex and time-consuming. Althoug...
According to an ADA report, approximately 15% of the US population requires dental care annually but does not receive it. Access to dental care, parti...
Accurate aortic stenosis (AS) phenotyping requires access to multimodality imaging which has limited availability. The Digital Aortic Stenosis Severit...
This study developed a deep learning pipeline to localize bounded edentulous spaces with missing teeth FDI number directly from intraoral photographs,...
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 mo...
Most diagnostic frameworks treat disease as static, overlooking its inherently dynamic and continuous progression. Noninvasive biomarkers capable of c...
Myocardial infarction (MI) is a major global health concern influenced by diverse risk factors. Despite growing evidence of oral– systemic connections...
Gingivitis and periodontitis, are widespread conditions with diverse influence on oral and systemic health. Traditional diagnostic methods in periodon...
AIM: To identify osteoclastogenic macrophage subsets and their regulatory mechanisms in periodontitis.
BACKGROUND: Artificial intelligence (AI) acts as the state-of-the-art in periodontitis diagnosis in dentistry. Current diagnostic challenges include e...
INTRODUCTION: Digital orthodontics is here to make our specialty more efficient, and the integration of artificial intelligence (AI) is no exception. ...
OBJECTIVES: This study aims to investigate the role of genes related to fatty acid metabolism in periodontitis through machine learning and bioinforma...
With the advancement of digital healthcare and artificial intelligence (AI) technologies, the full automation of clear aligner orthodontic technology ...