AIMC Topic: Periodontal Diseases
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Automated periodontal assessment in orthodontic patients: a dual CNN framework.
Clinical oral investigations
Jun 2, 2025
OBJECTIVE: The aim of this study was to develop convolutional neural network (CNN)-based systems to diagnose calculus, plaque, gingival hyperplasia and gingival inflammation in intraoral images from orthodontic patients.
AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters.
Medicina (Kaunas, Lithuania)
Mar 23, 2025
Artificial intelligence (AI) is increasingly used in healthcare, including dental and periodontal diagnostics, due to its ability to analyze complex datasets with speed and precision. This study aimed to evaluate the reliability of AI-assisted denta...
Machine learning predicts selected cat diseases using insurance data amid challenges in interpretability.
American journal of veterinary research
Feb 7, 2025
OBJECTIVE: To develop models for prediction of the onset of specific diseases in cats using pet insurance data and to evaluate their predictive performance.
Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge.
Medical image analysis
Jan 7, 2025
Machine learning is widely used in dentistry nowadays, offering efficient solutions for diagnosing dental diseases, such as periodontitis and gingivitis. Most existing methods for diagnosing periodontal diseases follow a two-stage process. Initially,...
Development of a survey-based stacked ensemble predictive model for autonomy preferences in patients with periodontal disease.
Journal of dentistry
Nov 18, 2024
OBJECTIVES: This study aimed to develop a model to predict the autonomy preference (AP) and satisfaction after tooth extraction (STE) in patients with periodontal disease. Understanding of individual AP and STE is essential for improving patient sati...
Artificial intelligence and personalized diagnostics in periodontology: A narrative review.
Periodontology 2000
Jun 26, 2024
Periodontal diseases pose a significant global health burden, requiring early detection and personalized treatment approaches. Traditional diagnostic approaches in periodontology often rely on a "one size fits all" approach, which may overlook the un...
Artificial Intelligence and Its Application in Endodontics: A Review.
The journal of contemporary dental practice
Nov 1, 2023
AIM AND BACKGROUND: Artificial intelligence (AI) since it was introduced into dentistry, has become an important and valuable tool in many fields. It was applied in different specialties with different uses, for example, in diagnosis of oral cancer, ...
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.
A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level.
Journal of dentistry
Jun 26, 2022
OBJECTIVES: Bone level as measured by clinical attachment levels (CAL) are critical findings that determine the diagnosis of periodontal disease. Deep learning algorithms are being used to determine CAL which aid in the diagnosis of periodontal disea...
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