AIMC Topic: Bone Development
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Predicting ultrasound wave stimulated bone growth in bioinspired scaffolds using machine learning.
Journal of the mechanical behavior of biomedical materials
Aug 14, 2024
For conditions like osteoporosis, changes in bone pore geometry even when porosity is constant have been shown to correlate to increased fracture risk using techniques such as dual-energy x-ray absorptiometry (DXA) and computed tomography (CT). Addit...
A real-time automated bone age assessment system based on the RUS-CHN method.
Frontiers in endocrinology
Mar 15, 2023
BACKGROUND: Bone age is the age of skeletal development and is a direct indicator of physical growth and development in children. Most bone age assessment (BAA) systems use direct regression with the entire hand bone map or first segmenting the regio...
Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence.
Orthodontics & craniofacial research
Aug 17, 2021
OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, and to analyse the accuracy of the proposed algorithms.
Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis.
PloS one
Jul 25, 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 enviro...
Bone Fusion in Normal and Pathological Development is Constrained by the Network Architecture of the Human Skull.
Scientific reports
Jun 13, 2017
Craniosynostosis, the premature fusion of cranial bones, affects the correct development of the skull producing morphological malformations in newborns. To assess the susceptibility of each craniofacial articulation to close prematurely, we used a ne...
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