AIMC Topic: Dental Caries

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Artificial Intelligence in Dental Caries Diagnosis and Detection: An Umbrella Review.

Clinical and experimental dental research
BACKGROUND AND AIM: Dental caries is largely preventable, yet an important global health issue. Numerous systematic reviews have summarized the efficacy of artificial intelligence (AI) models for the diagnosis and detection of dental caries. Therefor...

Artificial Intelligence: A Mighty Adjunct for Caries Detection.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995)
Articifial intelligence (AI) is impacting many aspects of people's lives today. In fields such as finance, manufacturing, agriculture, insurance, education, and healthcare, AI has been commissioned to cut costs, increase efficiency, and improve accur...

A Deep Learning-Based System for the Assessment of Dental Caries Using Colour Dental Photographs.

Studies in health technology and informatics
D1ental caries remains the most common chronic disease in childhood, affecting almost half of all children globally. Dental care and examination of children living in remote and rural areas is an ongoing challenge that has been compounded by COVID. T...

Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

Pediatric dentistry
To systematically evaluate artificial intelligence applications for diagnostic and treatment planning possibilities in pediatric dentistry. PubMed, EMBASE, Scopus, Web of Science, IEEE, medRxiv, arXiv, and Google Scholar were searched using specifi...

Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis.

Dento maxillo facial radiology
OBJECTIVES: Improved tools based on deep learning can be used to accurately number and identify teeth. This study aims to review the use of deep learning in tooth numbering and identification.

Prediction model of dental caries in 12-year-old children in Sichuan Province based on machine learning.

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology
OBJECTIVES: The machine learning algorithm was used to construct a prediction model of children's dental caries to determine the risk factors of dental caries in children and put forward targeted measures and policy suggestions to improve children's ...

[Experimental study of APB-DOCK8 transgenic tomato vaccine for caries prevention].

Shanghai kou qiang yi xue = Shanghai journal of stomatology
PURPOSE: To observe the anti-caries effect of transgenic tomato anti-caries vaccine after immunization with SD rats by gavage and to explore its immunity mechanism initially.

[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
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...

Recognizing Occlusal Caries in Dental Intraoral Images Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Based on an image dataset of 88 in-vivo dental images taken with an intra-oral camera, we show that a Deep Learning model (Mask R-CNN) can detect and classify dental caries on occlusal surfaces across the whole 7-class ICDAS (International Caries Det...

Silver Diamine Fluoride and Potassium Iodide Disruption of In Vitro .

Journal of dentistry for children (Chicago, Ill.)
The purpose of this study was to investigate the inhibitory in vitro effects of silver diamine fluoride (SDF) with and without a saturated solution of potassium iodide (SSKI) on established biofilm. Fifty μl of an overnight culture (10 CFU per mL)...