Results 81 to 90 of about 11,392,113 (401)
A Novel Formula Based Model for Predicting Skeletal Maturation in Maharashtra
Aim: To develop and validate a reliable, objective method for cervical vertebral bone age (CVBA) estimation using lateral cephalograms in a Maharashtrian population.
Prachi Gaonkar +7 more
doaj +1 more source
BackgroundThe accuracy and consistency of bone age assessments (BAA) using standard methods can vary with physicians' level of experience.MethodsTo assess the impact of information from an artificial intelligence (AI) deep learning convolutional neural ...
Xi Wang +16 more
doaj +1 more source
Integrated continuous care is important to prevent and treat brittle bone status in the aging process; however, minority groups often have limited access to health services.
Lee, Young-Shin
core +2 more sources
A retrospective analysis of longitudinal changes in bone mineral content in cystic fibrosis [PDF]
Background: We aimed to describe the longitudinal changes in bone mineral content and influencing factors, in children with cystic fibrosis (CF). Methods: One hundred children (50 females) had dual X-ray absorptiometry (DXA) performed.
Ahmed, Syed Faisal +7 more
core +1 more source
Fully Automated Deep Learning System for Bone Age Assessment
Skeletal maturity progresses through discrete phases, a fact that is used routinely in pediatrics where bone age assessments (BAAs) are compared to chronological age in the evaluation of endocrine and metabolic disorders.
Hyunkwang Lee +7 more
semanticscholar +1 more source
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
Automated Risser Grade Assessment of Pelvic Bones Using Deep Learning
(1) Background: This study aimed to develop a deep learning model using a convolutional neural network (CNN) to automate Risser grade assessment from pelvic radiographs.
Jeoung Kun Kim +2 more
doaj +1 more source
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Aesthetic satisfaction in lip and palate clefts: a comparative study between secondary and tertiary bone grafting [PDF]
Lip and palate cleft represent one of the most frequently occurring congenital deformity, which includes dental anomalies, such as variation in tooth number and position.
Brauner, E +7 more
core +1 more source
Short-Term Radiographic Evaluation of a Tri-Tapered Femoral Stem in Direct Anterior Total Hip Arthroplasty [PDF]
Introduction. Direct anterior approach (DAA) total hip arthroplasty (THA) has become increasingly popular, largely due to utilization of a true internervous and intermuscular plane. However, recent literature has demonstrated an increased rate of femoral
Bachinskas, Andrew +5 more
core +2 more sources

