Results 51 to 60 of about 11,392,113 (401)

Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment

IEEE journal of biomedical and health informatics, 2020
Bone age assessment (BAA) is clinically important as it can be used to diagnose endocrine and metabolic disorders during child development. Existing deep learning based methods for classifying bone age use the global image as input, or exploit local ...
Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, W. Speier, C. Arnold   +5 more
semanticscholar   +1 more source

Pubertal timing in children with Silver Russell syndrome compared to those born small for gestational age

Frontiers in Endocrinology, 2022
ContextData on pubertal timing in Silver Russell syndrome (SRS) are limited.Design and methodsRetrospective observational study including twenty-three SRS patients [11p15 loss of methylation, (11p15 LOM, n=10) and maternal uniparental disomy of ...
Giuseppa Patti, Giuseppa Patti, Federica Malerba, Maria Grazia Calevo, Maurizio Schiavone, Marco Scaglione, Emilio Casalini, Silvia Russo, Daniela Fava, Daniela Fava, Marta Bassi, Flavia Napoli, Anna Elsa Maria Allegri, Giuseppe D’Annunzio, Roberto Gastaldi, Mohamad Maghnie, Mohamad Maghnie, Natascia Di Iorgi, Natascia Di Iorgi   +18 more
doaj   +1 more source

Age-related changes to macrophages are detrimental to fracture healing in mice. [PDF]

, 2020
The elderly population suffers from higher rates of complications during fracture healing that result in increased morbidity and mortality. Inflammatory dysregulation is associated with increased age and is a contributing factor to the myriad of age ...
Brazina, Sloane, Clark, Daniel, Hsieh, Christine L, Hu, Diane, Marcucio, Ralph, Miclau, Theodore, Nakamura, Mary C, Niemi, Erene C, Yang, Frank   +8 more
core   +2 more sources

Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs.

Radiology: Artificial Intelligence, 2020
Purpose To develop a deep learning approach to bone age assessment based on a training set of developmentally normal pediatric hand radiographs and to compare this approach with automated and manual bone age assessment methods based on Greulich and Pyle (
I. Pan, G. Baird, Simukayi Mutasa, Derek Merck, C. Ruzal-Shapiro, D. Swenson, R. Ayyala   +6 more
semanticscholar   +1 more source

Role of galectin-3 in bone cell differentiation, bone pathophysiology and vascular osteogenesis [PDF]

, 2017
Galectin-3 is expressed in various tissues, including the bone, where it is considered a marker of chondrogenic and osteogenic cell lineages. Galectin-3 protein was found to be increased in the differentiated chondrocytes of the metaphyseal plate ...
Fantauzzi, Claudia Blasetti, Iacobini, Carla, Menini, Stefano, Pugliese, Giuseppe   +3 more
core   +2 more sources

An artificial intelligence-based bone age assessment model for Han and Tibetan children

Frontiers in Physiology
Background: Manual bone age assessment (BAA) is associated with longer interpretation time and higher cost and variability, thus posing challenges in areas with restricted medical facilities, such as the high-altitude Tibetan Plateau.
Qixing Liu, Huogen Wang, Cidan Wangjiu, Tudan Awang, Meijie Yang, Puqiong Qiongda, Xiao Yang, Hui Pan, Fengdan Wang   +8 more
doaj   +1 more source

Using ultrasound as an accurate method of determining bone age: A safe method specially in young athletes

Iranian Journal of Pediatric Surgery, 2018
Introduction: Bone age determination is used in situations such a migration and sports. Radiography, MRI and ultrasound are different methods of determining bone age. This study was designed to evaluate the effectiveness of ultrasound in determining bone
Mehdi Karami, Reza Khaleghnejad Tabari, Fatemeh Karami   +2 more
doaj   +1 more source

Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis

PLoS ONE, 2019
BACKGROUND The assessment of bone age and skeletal maturity and its comparison to chronological age is an important task in the medical environment for the diagnosis of pediatric endocrinology, orthodontics and orthopedic disorders, and legal environment
A. Dallora, P. Anderberg, Ola Kvist, E. Mendes, Sandra Diaz Ruiz, J. Sanmartin Berglund   +5 more
semanticscholar   +1 more source

Skeletal Maturity in Adolescence: Evaluating Bone Development and Age Metrics

Diagnostics
Background/Objectives: Bone maturation and development are crucial for growth and development, especially in children and adolescents; however, some qualitative methods, such as Greulich & Pyle, do not provide accurate data.
João Pinheiro, Luís Ribeiro, Diana Teixeira, Anabela Ribeiro, Manuel João Coelho-e-Silva   +4 more
doaj   +1 more source

Correlation of Bone Textural Parameters with Age in the Context of Orthopedic X-ray Studies

Applied Sciences, 2023
The aim of this study was to establish a relationship between the textural parameters observed in X-ray images of bones and the age of the individual.
Paweł Kamiński, Rafał Obuchowicz, Aleksandra Stępień, Julia Lasek, Elżbieta Pociask, Adam Piórkowski   +5 more
doaj   +1 more source