AIMC Topic: Dental Caries
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Application of 3D neural networks and explainable AI to classify ICDAS detection system on mandibular molars.
The Journal of prosthetic dentistry
Oct 22, 2024
STATEMENT OF PROBLEM: Considerable variations exist in cavity preparation methods and approaches. Whether the extent and depth of cavity preparation because of the extent of caries affects the overall accuracy of training deep learning models remains...
Diagnostic accuracy of artificial intelligence for approximal caries on bitewing radiographs: A systematic review and meta-analysis.
Journal of dentistry
Oct 11, 2024
OBJECTIVES: This systematic review and meta-analysis aimed to investigate the diagnostic accuracy of Artificial Intelligence (AI) for approximal carious lesions on bitewing radiographs.
Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis.
F1000Research
Oct 11, 2024
BACKGROUND: Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging t...
Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists.
Oral radiology
Oct 9, 2024
OBJECTIVES: This study intended to evaluate patients' attitudes toward the use of AI in dental radiographic detection of occlusal caries and the impact of AI-based diagnosis on their trust in dentists.
Enhancing dental caries classification in CBCT images by using image processing and self-supervised learning.
Computers in biology and medicine
Oct 7, 2024
Diagnosing dental caries poses a significant challenge in dentistry, necessitating precise and early detection for effective management. This study utilizes Self-Supervised Learning (SSL) tasks to improve the classification of dental caries in Cone B...
Diagnostic accuracy of artificial intelligence-assisted caries detection: a clinical evaluation.
BMC oral health
Sep 16, 2024
OBJECTIVE: This clinical study aimed to evaluate the practical value of integrating an AI diagnostic model into clinical practice for caries detection using intraoral images.
Diagnostic accuracy of dental caries detection using ensemble techniques in deep learning with intraoral camera images.
PloS one
Sep 6, 2024
Camera image-based deep learning (DL) techniques have achieved promising results in dental caries screening. To apply the intraoral camera image-based DL technique for dental caries detection and assess its diagnostic performance, we employed the ens...
Radiographical diagnostic competences of dental students using various feedback methods and integrating an artificial intelligence application-A randomized clinical trial.
European journal of dental education : official journal of the Association for Dental Education in Europe
Jul 31, 2024
INTRODUCTION: Radiographic diagnostic competences are a primary focus of dental education. This study assessed two feedback methods to enhance learning outcomes and explored the feasibility of artificial intelligence (AI) to support education.
An explainable predictive model of direct pulp capping in carious mature permanent teeth.
Journal of dentistry
Jul 31, 2024
OBJECTIVE: To introduce a novel approach for predicting the personalized probability of success of DPC treatment in carious mature permanent teeth using explainable machine learning (ML) models.
AI-initiated second opinions: a framework for advanced caries treatment planning.
BMC oral health
Jul 10, 2024
Integrating artificial intelligence (AI) into medical and dental applications can be challenging due to clinicians' distrust of computer predictions and the potential risks associated with erroneous outputs. We introduce the idea of using AI to trigg...
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