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

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Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

Research Projects

Journal Issue

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

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 Logo
OpenCitations Citation Count
25

Source

European Journal of Nuclear Medıcıne And Molecular Imagıng

Volume

46

Issue

13

Start Page

2731

End Page

2736
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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

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Downloads

10

checked on Mar 15, 2026

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3.47217325

Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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