AIMC Topic: Dental Caries

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Towards Trustworthy AI in Dentistry.

Journal of dental research
Medical and dental artificial intelligence (AI) require the trust of both users and recipients of the AI to enhance implementation, acceptability, reach, and maintenance. Standardization is one strategy to generate such trust, with quality standards ...

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries.

Journal of healthcare engineering
BACKGROUND: Dental caries is one of the major oral health problems and is increasing rapidly among people of every age (children, men, and women). Deep learning, a field of Artificial Intelligence (AI), is a growing field nowadays and is commonly use...

Deep learning for caries detection: A systematic review.

Journal of dentistry
OBJECTIVES: Detecting caries lesions is challenging for dentists, and deep learning models may help practitioners to increase accuracy and reliability. We aimed to systematically review deep learning studies on caries detection.

Evaluation of a deep learning system for automatic detection of proximal surface dental caries on bitewing radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVE: This study aimed to evaluate a deep learning (DL) system using convolutional neural networks (CNNs) for automatic detection of caries on bitewing radiographs.

Deep-learning approach for caries detection and segmentation on dental bitewing radiographs.

Oral radiology
OBJECTIVES: The aim of this study is to recommend an automatic caries detection and segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental bitewing radiographs using VGG-16 and U-Net architecture and evaluate the clin...

RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism.

Computational and mathematical methods in medicine
Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on digital images for caries detection, we construct a caries detection dataset based on the caries images annotated by professional dentists and propose RDFNet...

Deep learning for early dental caries detection in bitewing radiographs.

Scientific reports
The early detection of initial dental caries enables preventive treatment, and bitewing radiography is a good diagnostic tool for posterior initial caries. In medical imaging, the utilization of deep learning with convolutional neural networks (CNNs)...

Prediction Algorithm of Young Students' Physical Health Risk Factors Based on Deep Learning.

Journal of healthcare engineering
Young people's physical and mental health is the foundation of society's overall development and the key to improving people's health quality. Middle school students' physical examinations and monitoring work are a surefire way to ensure their health...

Machine learning to predict distal caries in mandibular second molars associated with impacted third molars.

Scientific reports
Impacted mandibular third molars (M3M) are associated with the occurrence of distal caries on the adjacent mandibular second molars (DCM2M). In this study, we aimed to develop and validate five machine learning (ML) models designed to predict the occ...

Detecting white spot lesions on dental photography using deep learning: A pilot study.

Journal of dentistry
OBJECTIVES: We aimed to apply deep learning to detect white spot lesions in dental photographs.