Artificial Intelligence and Radiomics in Nuclear Medicine: Potentials and Challenges
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Date
2019
Authors
Aktolun, Cumali
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
BRONZE
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
ORCID
Keywords
Artificial intelligence, Radiomics, Machine learning, Deep learning, Artificial neural networks, Supervised learning, Unsupervised learning, Radiology, Future, Artificial Intelligence, Image Processing, Computer-Assisted, Humans, Nuclear Medicine, Molecular Imaging
Fields of Science
03 medical and health sciences, 0302 clinical medicine
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
25
Source
European Journal of Nuclear Medıcıne And Molecular Imagıng
Volume
46
Issue
13
Start Page
2731
End Page
2736
PlumX Metrics
Citations
Scopus : 35
PubMed : 12
Captures
Mendeley Readers : 82
SCOPUS™ Citations
35
checked on Mar 15, 2026
Web of Science™ Citations
27
checked on Mar 15, 2026
Page Views
5
checked on Mar 15, 2026
Downloads
10
checked on Mar 15, 2026
Google Scholar™

OpenAlex FWCI
3.47217325
Sustainable Development Goals
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


