Artificial Intelligence for Radiation Dose Optimization in Pediatric Radiology: A Systematic Review

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Artificial Intelligence for Radiation Dose Optimization in Pediatric Radiology: A Systematic Review

Radiation dose optimization is particularly important in pediatric radiology, as children are more susceptible to potential harmful effects of ionizing radiation. However, only one narrative review about artificial intelligence (AI) for dose optimization in pediatric computed tomography (CT) has bee...

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Bibliographic Details
Main Author:	Ng, Curtise
Other Authors:	Tsiflikas, Ilias
Format:	Journal Article
Published:	MDPI 2022
Subjects:	as low as reasonably achievable computed tomography convolutional neural network deep learning dose reduction generative adversarial network image processing machine learning medical imaging noise
Online Access:	https://www.mdpi.com/journal/children http://hdl.handle.net/20.500.11937/88895

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