AIMC Topic: Periodontitis

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Prediction of Interactomic HUB Genes in Periodontitis With Acute Myocardial Infarction.

The Journal of craniofacial surgery Jun 3, 2024
BACKGROUND: Acute myocardial infarction (AMI) risk correlates with C-reactive protein (CRP) levels, suggesting systemic inflammation is present well before AMI. Studying different types of periodontal disease (PD), extremely common in individuals at ...
Transcriptome Periodontitis Bayes Theorem Myocardial Infarction Humans Machine Learning Biomarkers Gene Expression Profiling
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A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging.

Journal of dentistry May 8, 2024
OBJECTIVES: This study focuses on artificial intelligence (AI)-assisted analysis of alveolar bone for periodontitis in a mouse model with the aim to create an automatic deep-learning segmentation model that enables researchers to easily examine alveo...
X-Ray Microtomography Maxilla Alveolar Bone Loss Alveolar Process Mice Disease Models, Animal Periodontitis Artificial Intelligence Bone Density Animals Deep Learning Imaging, Three-Dimensional
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Enhanced control of periodontitis by an artificial intelligence-enabled multimodal-sensing toothbrush and targeted mHealth micromessages: A randomized trial.

Journal of clinical periodontology Apr 17, 2024
AIM: Treatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains challenging due to patients' poor performance and adherence to the necessary oral hygiene procedures. Novel, artificial intelligence-enabled multimod...
Humans Middle Aged Treatment Outcome Periodontitis Double-Blind Method Artificial Intelligence Female Adult Male Toothbrushing Telemedicine Oral Hygiene
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Accuracy of Artificial Intelligence Models in the Prediction of Periodontitis: A Systematic Review.

JDR clinical and translational research Apr 8, 2024
INTRODUCTION: Periodontitis is the main cause of tooth loss and is related to many systemic diseases. Artificial intelligence (AI) in periodontics has the potential to improve the accuracy of risk assessment and provide personalized treatment plannin...
Reproducibility of Results Risk Assessment Periodontitis Humans Neural Networks, Computer Artificial Intelligence Algorithms
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Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach.

Journal of dentistry Mar 2, 2024
OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting.
Tooth Mobility Tooth Loss Furcation Defects ROC Curve Periodontitis Area Under Curve Female Risk Factors Aged Adult Male Middle Aged Cohort Studies Machine Learning Algorithms Phenotype Electronic Health Records Humans
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Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.

Oral radiology Feb 23, 2024
OBJECTIVES: We aim to develop a deep learning model based on a convolutional neural network (CNN) combined with a classification algorithm (CA) to assist dentists in quickly and accurately diagnosing the stage of periodontitis.
Bayes Theorem Radiography, Dental Neural Networks, Computer Algorithms Female Adult Male Middle Aged Deep Learning Periodontitis Humans
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Development of a machine learning multiclass screening tool for periodontal health status based on non-clinical parameters and salivary biomarkers.

Journal of clinical periodontology Sep 11, 2023
AIM: To develop a multiclass non-clinical screening tool for periodontal disease and assess its accuracy for differentiating periodontal health, gingivitis and different stages of periodontitis.
Periodontal Index Biomarkers Matrix Metalloproteinase 8 Female Gingival Hemorrhage Aged Saliva Young Adult Periodontal Diseases Humans Gingivitis Machine Learning Surveys and Questionnaires Adult Health Status Cross-Sectional Studies Periodontitis Male Point-of-Care Testing Middle Aged
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Suitability of machine learning models for prediction of clinically defined Stage III/IV periodontitis from questionnaires and demographic data in Danish cohorts.

Journal of clinical periodontology Sep 10, 2023
AIM: To evaluate if, and to what extent, machine learning models can capture clinically defined Stage III/IV periodontitis from self-report questionnaires and demographic data.
Machine Learning Female Aged Adult Male Middle Aged Prevalence Humans Periodontitis Surveys and Questionnaires Self Report Cohort Studies Demography Denmark
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Development and international validation of logistic regression and machine-learning models for the prediction of 10-year molar loss.

Journal of clinical periodontology Dec 11, 2022
AIM: To develop and validate models based on logistic regression and artificial intelligence for prognostic prediction of molar survival in periodontally affected patients.
Tooth Loss Neural Networks, Computer Artificial Intelligence Machine Learning Humans Logistic Models Periodontitis Bayes Theorem Molar
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Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis.

Journal of clinical periodontology Jul 28, 2022
AIM: The aim of this study was to compare the validity of different machine learning algorithms to develop and validate predictive models for periodontitis.
ROC Curve Humans Machine Learning Predictive Value of Tests Algorithms Periodontitis
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