Imaging is an essential tool in research, diagnostics and the management of endocrine
disorders. Ultrasonography, nuclear medicine techniques, MRI, CT and optical methods are …

Achieving normal growth is one of the most challenging problems in the management of
children with chronic kidney disease (CKD). Treatment with recombinant human growth …

Organizational decision-makers need to evaluate AI tools in light of increasing claims that
such tools outperform human experts. Yet, measuring the quality of knowledge work is …

Background Previous studies suggest that use of artificial intelligence (AI) algorithms as
diagnostic aids may improve the quality of skeletal age assessment, though these studies …

Skeletal bone age assessment is a common clinical practice to investigate endocrinology,
and genetic and growth disorders of children. However, clinical interpretation and bone age …

Pediatricians have relied on methods for determining skeletal maturation for> 75 years.
Bone age continues to be a valuable tool in assessing children's health. New technology for …

The purpose of this study is to evaluate and compare the performance of six state-of-the-art
convolutional neural network (CNN)-based deep learning models for cervical vertebral …

Solving problems in medical image processing is either generic (being applicable to many
problems) or specific (optimized for a certain task). For example, bone age assessment …

This paper tactics to develop the novel Tanner-Whitehouse 3 (TW3)-based automated Bone
Age Assessment (BAA) model for children with the assistance of Faster Region …

Image processing and computer vision is an important and essential area in today's
scenario. Several problems can be solved through computer vision techniques. There are a …