Results 231 to 240 of about 275,013 (331)
ABSTRACT Background Children receiving dental treatment under general anesthesia (GA) often have odontogenic infections (OIs). Early detection and treatment of patients at risk of OIs can improve oral health and prevent early tooth extractions. Aim To investigate the prevalence, characteristics, and predictive factors of OIs in children receiving ...
Annmari Hyppänen +4 more
wiley +1 more source
Retraction: The association between mode of childbirth delivery and early childhood caries: A comprehensive systematic review and meta-analysis. [PDF]
PLOS One Editors.
europepmc +1 more source
ABSTRACT Background The relationship between primary teeth and their successors involves complex interactions that may influence the development of permanent teeth. Aim To evaluate alterations in permanent premolars after endodontic treatment of their primary molar predecessors. Design A prospective study was conducted with children initially aged 5 to
Rafaela Lourdes de Sousa +7 more
wiley +1 more source
Cavities and Calories: Exploring the Relationship Between Early Childhood Caries and Body Mass Index. [PDF]
Sharma S +5 more
europepmc +1 more source
Association of Early and Severe Early Childhood Caries with Oral Health-Related Quality of Life: A Cross-Sectional Survey. [PDF]
Redwan SK +4 more
europepmc +1 more source
Social Gradient in Early Childhood Caries: Data from a Portuguese birth cohort
Sousan Hamwi
openalex +1 more source
Detection of Dens Invaginatus on Panoramic Radiographs Using Deep Learning Algorithms
ABSTRACT Background Dens invaginatus is a developmental dental anomaly characterized by enamel folding into the dental papilla during odontogenesis. Early detection allows for appropriate management and reduces the risk of complex treatments. Aim This study aimed to evaluate the success and reliability of YOLOv5 and YOLOv8 deep learning models with two
Esra Nur Akgül, Burcu Gucyetmez Topal
wiley +1 more source
Dietary Intake and Severe Early Childhood Caries in Low-Income, Young Children
E. Whitney Evans +5 more
openalex +1 more source
ABSTRACT Background Multimodal large language models (LLMs) have potential for medical image analysis, yet their reliability for pediatric panoramic radiographs remains uncertain. Aim This study evaluated two multimodal LLMs (OpenAI o1, Claude 3.5 Sonnet) for detecting and counting teeth (including tooth germs) on pediatric panoramic radiographs ...
Yuichi Mine +9 more
wiley +1 more source

