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Advanced Research in Pediatric Radiology and Nuclear Medicine

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 tomo...

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Materialtyp: Online
Språk:engelska
Utgiven: MDPI - Multidisciplinary Digital Publishing Institute 2023
Ämnen:
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
confusion matrix
disease identification
image interpretation
pneumonia
artificial intelligence (AI)
deep learning (DL)
paediatric pneumonia
chest radiograph
computer-aided detection (CAD)
cumulative
radiation dose
acute tonsillitis
shear wave elastography
stiffness
pediatric
magnetic resonance imaging
infection
neck
emergency medicine
thema EDItEUR::M Medicine and Nursing
thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology
Länkar:ONIX_20230714_9783036579597_69
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Sammanfattning: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.

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