AIMC Topic: Dental Enamel
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Intelligently Quantifying the Entire Irregular Dental Structure.
Journal of dental research
Feb 19, 2024
Quantitative analysis of irregular anatomical structures is crucial in oral medicine, but clinicians often typically measure only several representative indicators within the structure as references. Deep learning semantic segmentation offers the pot...
Detecting caries lesions of different radiographic extension on bitewings using deep learning.
Journal of dentistry
Jul 4, 2020
OBJECTIVES: We aimed to apply deep learning to detect caries lesions of different radiographic extension on bitewings, hypothesizing it to be significantly more accurate than individual dentists.
[Development of a deep learning based prototype artificial intelligence system for the detection of dental caries in children].
Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Dec 9, 2021
To develop a prototype artificial intelligence image recognition system for detecting dental caries, especially those without cavities, in children. Seven hundred and twelve intraoral photos, which were taken by dental professionals using a digital...
Effects of Microabrasion Prior to In-office Bleaching on Hydrogen Peroxide Permeability, Color Change, and Enamel Morphology.
Operative dentistry
Nov 1, 2021
PURPOSE: This study evaluated hydrogen peroxide (HP) diffusion within the pulp chamber, as well as color change and the surface morphology of teeth subjected to various microabrasion (MA) protocols associated or not with in-office (IO) bleaching.
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