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| http://dx.doi.org/10.1016/j.puhip.2021.100183 | DOI Listing |
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Diagnosis of approximal caries in children with convolutional neural networks based detection algorithms on radiographs: A pilot study.
Acta Odontol Scand
January 2025
Electronic and Department of Electronics and Automation, Tekirdag Namik Kemal University, Tekirdag, Turkey.
Objectives: Approximal caries diagnosis in children is difficult, and artificial intelligence-based research in pediatric dentistry is scarce. To create a convolutional neural network (CNN)-based diagnostic system for the prompt and efficient identification of approximal caries in pediatric patients aged 5-12 years.
Materials And Methods: Pediatric patients' digital periapical radiographic images were collected to create a unique dataset.
The COVID-19 pandemic has exacerbated the obesity epidemic, with both adults and children demonstrating rapid weight gain during the pandemic. However, the impact of having a COVID-19 diagnosis on this trend is not known. Using longitudinal data from January 2019 to June 2023 collected by the US National Institute for Health's National COVID Cohort Collaborative (N3C), children (age 2-18 years) with positive COVID-19 test results { = 11,474, 53% male, mean [standard deviation (SD)] age 5.
View Article and Find Full Text PDFPredicting and Ranking Diabetic Ketoacidosis Risk among Youth with Type 1 Diabetes with a Clinic-to-Clinic Transferrable Machine Learning Model.
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Children's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.
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View Article and Find Full Text PDFFluoride Exposure and Children's IQ Scores: A Systematic Review and Meta-Analysis.
JAMA Pediatr
January 2025
Division of Translational Toxicology, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina.
Importance: Previous meta-analyses suggest that fluoride exposure is adversely associated with children's IQ scores. An individual's total fluoride exposure comes primarily from fluoride in drinking water, food, and beverages.
Objective: To perform a systematic review and meta-analysis of epidemiological studies investigating children's IQ scores and prenatal or postnatal fluoride exposure.
Metabolomics Revealed Cadmium Exposure Associated with Alterations in Serum Metabolism in Children.
Biol Trace Elem Res
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School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Cadmium is a heavy metal contaminant known to cause various health issues. However, limited research exists on the serum metabolomic effects of cadmium exposure in children. In this study, we recruited 42 children to analyze their serum metabolomic profiles, along with measuring urinary cadmium and creatinine concentrations, to evaluate the impact of environmental cadmium exposure on serum metabolism.
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