AIMC Topic: Periodontitis

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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...
Double-Blind Method Toothbrushing Telemedicine Oral Hygiene Middle Aged Treatment Outcome Periodontitis Humans Adult Male Artificial Intelligence Female
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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...
Algorithms Reproducibility of Results Risk Assessment Periodontitis Humans Neural Networks, Computer Artificial Intelligence
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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.
Humans Machine Learning Female Risk Factors Aged Adult Algorithms Phenotype Electronic Health Records Tooth Loss Furcation Defects ROC Curve Periodontitis Area Under Curve Male Tooth Mobility Middle Aged Cohort Studies
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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 Middle Aged Deep Learning Periodontitis Humans Neural Networks, Computer Adult Male Algorithms Female
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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.
Adult Cross-Sectional Studies Male Health Status Gingivitis Periodontitis Periodontal Index Female Point-of-Care Testing Middle Aged Matrix Metalloproteinase 8 Humans Aged Saliva Gingival Hemorrhage Surveys and Questionnaires Machine Learning Periodontal Diseases Young Adult Biomarkers
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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.
Demography Denmark Periodontitis Self Report Prevalence Surveys and Questionnaires Cohort Studies Humans Machine Learning Female Male Aged Middle Aged Adult
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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.
Humans Neural Networks, Computer Periodontitis Bayes Theorem Artificial Intelligence Molar Machine Learning Tooth Loss Logistic Models
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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.
Predictive Value of Tests Periodontitis Machine Learning Algorithms Humans ROC Curve
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Application of deep machine learning for the radiographic diagnosis of periodontitis.

Clinical oral investigations Jul 26, 2022
OBJECTIVE: Successful application of deep machine learning could reduce time-consuming and labor-intensive clinical work of calculating the amount of radiographic bone loss (RBL) in diagnosing and treatment planning for periodontitis. This study aime...
Periodontitis Humans Radiography Machine Learning Alveolar Bone Loss Deep Learning
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Deep learning in periodontology and oral implantology: A scoping review.

Journal of periodontal research Jul 20, 2022
Deep learning (DL) has been employed for a wide range of tasks in dentistry. We aimed to systematically review studies employing DL for periodontal and implantological purposes. A systematic electronic search was conducted on four databases (Medline ...
Humans Alveolar Bone Loss Deep Learning Gingivitis Periodontitis Periodontics
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