Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/859
Title: Artificial intelligence and radiomics in nuclear medicine: potentials and challenges
Authors: Aktolun, Cumali
Keywords: Artificial intelligence
Radiomics
Machine learning
Deep learning
Artificial neural networks
Supervised learning
Unsupervised learning
Radiology
Future
Publisher: Springer
Abstract: Artificial intelligence involves a wide range of smart techniques that are applicable to medical services including nuclear medicine. Recent advances in computer power, availability of accumulated digital archives containing large amount of patient images, and records bring new opportunities for the implementation of artificial techniques in nuclear medicine. As a subset of artificial intelligence, machine learning is an emerging tool that can possibly perform many clinical tasks. Nuclear medicine community needs to adapt to this fast approaching smart era, to exploit the opportunities and tackle the problems associated with artificial intelligence tools. It is aimed in this editorial to outline the opportunities and challenges of artificial intelligence applications in nuclear medicine.
URI: https://doi.org/10.1007/s00259-019-04593-0
https://hdl.handle.net/20.500.14365/859
ISSN: 1619-7070
1619-7089
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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