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Advanced Research in Pediatric Radiology and Nuclear Medicine

Edited by
June 2023
168 pages
  • ISBN978-3-0365-7959-7 (Hardback)
  • ISBN978-3-0365-7958-0 (PDF)
https://doi.org/10.3390/books978-3-0365-7958-0
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This book is a reprint of the Special Issue Advanced Research in Pediatric Radiology and Nuclear Medicine that was published in

Biology & Life Sciences
Medicine & Pharmacology
Public Health & Healthcare
Summary

Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
as low as reasonably achievable; computed tomography; convolutional neural network; deep learning; dose reduction; generative adversarial network; image processing; machine learning; medical imaging; noise; contrast-enhanced ultrasound; head ultrasound; brain death; infants; ancillary test; child; paediatric; infant; adolescent; chest X-ray; CXR; chest radiography; COVID-19; SARS-CoV-2; coronavirus; biliary atresia; ultrasonography; diagnostic accuracy; intraoperative cholangiography (IOC); diagnostic performance; elastography; three-dimensional printing; congenital heart disease; children; model; personalized medicine; application; children; confusion matrix; convolutional neural network; deep learning; diagnostic accuracy; disease identification; image interpretation; machine learning; medical imaging; pneumonia; artificial intelligence (AI); deep learning (DL); paediatric pneumonia; chest radiograph; computer-aided detection (CAD); cumulative; radiation dose; medical imaging; congenital heart disease; acute tonsillitis; shear wave elastography; stiffness; children; ultrasonography; pediatric; magnetic resonance imaging; infection; neck; emergency medicine; pediatric