Published May 2022
| Version v1
Journal article
Artificial intelligence in radiography: Where are we now and what does the future hold?
- 1. City, University of London (United Kingdom)
- 2. University of Exeter, Exeter (United Kingdom)
- 3. American Society of Radiologic Technologists, NM (United States)
- 4. Canterbury Christ Church University (United Kingdom)
- 5. University College London Hospitals (United Kingdom)
- 6. University of Bradford, Bradford (United Kingdom)
Description
This paper will outline the status and basic principles of artificial intelligence (AI) in radiography along with some thoughts and suggestions on what the future might hold. While the authors are not always able to separate the current status from future developments in this field, given the speed of innovation in AI, every effort has been made to give a view to the present with projections to the future.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.radi.2021.07.015Additional details
Identifiers
- DOI
- 10.1016/j.radi.2021.07.015;
- PII
- S107881742100095X;
Publishing Information
- Journal Title
- Radiography (London 1995)
- Journal Volume
- 27
- Journal Page Range
- p. S58-S62
- ISSN
- 1078-8174
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54003200
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; BIOMEDICAL RADIOGRAPHY; IMPLEMENTATION; RADIOLOGICAL PERSONNEL
- Descriptors DEC
- DIAGNOSTIC TECHNIQUES; MEDICAL PERSONNEL; MEDICINE; NUCLEAR MEDICINE; PERSONNEL; RADIOLOGY
Optional Information
- Copyright
- Copyright (c) 2021 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.