AIMC Topic: Dental Caries
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Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review.
BMC oral health
Feb 24, 2024
BACKGROUND: The aim of this systematic review is to evaluate the diagnostic performance of Artificial Intelligence (AI) models designed for the detection of caries lesion (CL).
Detection of caries around restorations on bitewings using deep learning.
Journal of dentistry
Feb 9, 2024
OBJECTIVE: Secondary caries lesions adjacent to restorations, a leading cause of restoration failure, require accurate diagnostic methods to ensure an optimal treatment outcome. Traditional diagnostic strategies rely on visual inspection complemented...
Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review.
Caries research
Feb 9, 2024
INTRODUCTION: A growing number of studies on diagnostic imaging show superior efficiency and accuracy of computer-aided diagnostic systems compared to those of certified dentists. This methodological systematic review aimed to evaluate the different ...
Antimicrobial Activity of Extract Used for Potential Application in the Prevention and Treatment of Oral Diseases.
Medicina (Kaunas, Lithuania)
Dec 21, 2023
: This study evaluated the antimicrobial effect and cytotoxic potential of the natural extract against (), the causative agent of dental caries, which is a typical oral disease, and (), which causes oral candidiasis. : was shaken in 70% ethanol f...
Impact of artificial intelligence on dentists' gaze during caries detection: A randomized controlled trial.
Journal of dentistry
Nov 26, 2023
OBJECTIVES: We aimed to understand how artificial intelligence (AI) influences dentists by comparing their gaze behavior when using versus not using an AI software to detect primary proximal carious lesions on bitewing radiographs.
Automatic caries detection in bitewing radiographs: part I-deep learning.
Clinical oral investigations
Nov 16, 2023
OBJECTIVE: The aim of this work was to assemble a large annotated dataset of bitewing radiographs and to use convolutional neural networks to automate the detection of dental caries in bitewing radiographs with human-level performance.
Dental Caries Detection and Classification in CBCT Images Using Deep Learning.
International dental journal
Nov 7, 2023
OBJECTIVES: This study aimed to investigate the accuracy of deep learning algorithms to diagnose tooth caries and classify the extension and location of dental caries in cone beam computed tomography (CBCT) images. To the best of our knowledge, this ...
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, ...
Improving accuracy of early dental carious lesions detection using deep learning-based automated method.
Clinical oral investigations
Oct 31, 2023
OBJECTIVE: To investigate the effectiveness of a convolutional neural network (CNN) in detecting healthy teeth and early carious lesions on occlusal surfaces and to assess the applicability of this deep learning algorithm as an auxiliary aid.
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