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Automatic Blob Detection for Dental Caries

open access: yesApplied Sciences, 2021
Dental Caries are one of the most prevalent chronic diseases around the globe. Detecting carious lesions is a challenging task. Conventional computer aided diagnosis and detection methods in the past have heavily relied on the visual inspection of teeth.
Vincent Majanga, Serestina Viriri
doaj   +4 more sources

Detection, Diagnosis, and Monitoring of Early Caries: The Future of Individualized Dental Care

open access: yesDiagnostics, 2023
Dental caries remains a significant global health issue. It was highlighted by the World Health Organization’s 2022 reports that despite the efforts and scientific advancements in caries detection and management, the situation has only marginally ...
Marwa Abdelaziz
doaj   +3 more sources

Use of Digital Diagnostic Aids for Initial Caries Detection: A Review

open access: yesDentistry Journal, 2023
The advance in digital diagnostic technologies has significantly facilitated the detection of dental caries. Despite the increase in clinically available digital diagnostic aids for dental caries, there is yet to be a comprehensive summary of all ...
Emma Kay Chan   +4 more
doaj   +3 more sources

Performance evaluation of AI-based caries detection technology and its educational training module: a dual-phase investigation [PDF]

open access: yesFrontiers in Dental Medicine
PurposeThis objective of the study was to assess the accuracy of an AI-based caries detection system, Overjet Caries Assist, or OCA, (Overjet Inc. Claymont, DE, USA) and to analyze the efficacy of the AI-based caries detection training module in teaching
Jennie Caldwell   +11 more
doaj   +2 more sources

Methods used for caries detection and diagnosis in Ontario dental practices: a cross-sectional survey [PDF]

open access: yesBMC Oral Health
Background Early detection of caries is essential for applying non-surgical treatment procedures and preventing the formation of cavitated lesions leading to unnecessary removal of tooth structure. Understanding dentists’ preferences for caries detection
Daniel Han   +7 more
doaj   +2 more sources

Diagnostic accuracy of artificial intelligence-assisted caries detection: a clinical evaluation [PDF]

open access: yesBMC Oral Health
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.
Jing-Wen Zhang   +5 more
doaj   +2 more sources

Web-Based Augmented Reality vs. Interactive Presentation for Learning Caries Detection: A Randomized Study on Student Motivation [PDF]

open access: yesDentistry Journal
Background/Objectives: Augmented Reality (AR) is promising in dental education, yet its impact on caries detection training remains underexplored. This study aimed to compare the effect of a web-based AR (WebAR) learning object with a content- and ...
Sofía Folguera   +4 more
doaj   +2 more sources

Proof-of-Concept Study on an Automatic Computational System in Detecting and Classifying Occlusal Caries Lesions from Smartphone Color Images of Unrestored Extracted Teeth

open access: yesDiagnostics, 2021
Dental caries has been considered the heaviest worldwide oral health burden affecting a significant proportion of the population. To prevent dental caries, an appropriate and accurate early detection method is demanded.
Duc Long Duong   +5 more
doaj   +1 more source

Comparative Diagnostic Accuracy of VistaCam IX Proxi and Bitewing Radiography for Detection of Interproximal Caries [PDF]

open access: yesJournal of Dentistry, 2023
Statement of the Problem: Early detection of caries and the extent of carious lesions for appropriate treatment planning are very important and lead to introduction of new diagnostic tools.Purpose: This study aimed to compare the diagnostic accuracy of ...
Solmaz Valizadeh   +3 more
doaj   +1 more source

Advances in the clinical application of imaging detection for caries

open access: yes口腔疾病防治, 2020
Dental caries detector is a kind of diagnostic tool specifically designed for dental professionals to detect and monitor the early occurrence and development of dental caries.
WANG Kaixin, WANG Xiaochun, ZHANG Lu
doaj   +1 more source

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