Published January 2019 | Version v1
Journal article Metadata-only

Artificial intelligence in radiology: how will we be affected?

Creators

  • 1. Epsom and St Helier University Hospitals NHS Trust (United Kingdom)
  • 2. University College London Hospitals NHS Foundation Trust (United Kingdom)
  • 3. Ashford and St Peter's Hospitals NHS Foundation Trust (United Kingdom)

Description

no abstract available

Additional details

Identifiers

DOI
10.1007/s00330-018-5644-3;

Publishing Information

Journal Title
European Radiology
Journal Volume
29
Journal Issue
1
Journal Page Range
p. 141-143
ISSN
0938-7994
CODEN
EURAE3

INIS

Country of Publication
Germany
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54094804
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE; S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
No Abstract
Descriptors DEI
ARTIFICIAL INTELLIGENCE; COMPUTERIZED SIMULATION; RADIOLOGY
Descriptors DEC
MEDICINE; NUCLEAR MEDICINE; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 European Society of Radiology