Results 71 to 80 of about 11,392,113 (401)
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks [PDF]
bioRxiv, 2017 Skeletal bone age assessment is a common clinical practice to diagnose endocrine and metabolic disorders in child development. In this paper, we describe a fully automated deep learning approach to the problem of bone age assessment using data from the ...
V. Iglovikov +3 more
semanticscholar +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks
Applied Sciences, 2022 Age prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age ...
Kamil Janczyk +4 more
doaj +1 more source
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks
, 2018 Skeletal bone age assessment is a common clinical practice to diagnose endocrine and metabolic disorders in child development. In this paper, we describe a fully automated deep learning approach to the problem of bone age assessment using data from ...
A Rakhlin +7 more
core +1 more source
Evaluation of Vibration Analysis to Assess Bone Mineral Density in Children [PDF]
, 2020 The effectiveness of vibration analysis to assess bone mineral density (BMD) in children with suspected reduction in bone density was studied. A system was designed that measured the ulna's vibration responses in vivo.
Bishop, Nicolas J +4 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
DiagnosticsIn age determination, different methods aiming to obtain the closest result to chronological age have been investigated so far. The most commonly used one among these is the radiological method, which is usually used to evaluate the developmental stages ...
Fatma Saraç +5 more
doaj +1 more source
Frontiers in Endocrinology, 2023 IntroductionAutomated bone age assessment has recently become increasingly popular. The aim of this study was to assess the agreement between automated and manual evaluation of bone age using the method according to Tanner-Whitehouse (TW3) and Greulich ...
Klara Maratova +7 more
doaj +1 more source
Deficits in trabecular bone microarchitecture in young women with Type 1 diabetes mellitus [PDF]
, 2015 Context: The pathophysiological mechanism of increased fractures in young adults with Type 1 Diabetes Mellitus (T1DM) is unclear. Objective: Case:control study of trabecular bone microarchitecture and vertebral marrow adiposity in young women with ...
Al-Daghri +49 more
core +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source