Published March 24, 2020
| Version v1
Journal article
Implementation and design of artificial intelligence in abdominal imaging
- 1. University of California San Francisco. Department of Radiology and Biomedical Imaging (United States)
- 2. Vancouver General Hospital. Department of Radiology (Canada)
Description
Artificial intelligence is a technique that holds promise for helping radiologists improve the care of our patients. At the same time, implementation decisions we make now can have a long-lasting effect on patient outcomes. In the following article, we discuss four areas with unique considerations for implementation of AI: bias, trust, risk, and design. In each section, we highlight applications of AI to abdominal imaging and prostate cancer specifically.
Additional details
Identifiers
Publishing Information
- Journal Title
- Abdominal Radiology (Online)
- Journal Volume
- 45
- Journal Issue
- 12
- Journal Page Range
- p. 4084-4089
- ISSN
- 2366-0058
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55057379
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ABDOMEN; ARTIFICIAL INTELLIGENCE; CASTRATION; DECISION MAKING; DIAGNOSTIC TECHNIQUES; HAZARDS; HEALTH HAZARDS; IMAGE PROCESSING; LIVER; NEOPLASMS; PATIENTS; PROSTATE; RADIOLOGY; SI UNITS; USES
- Descriptors DEC
- BODY; DIGESTIVE SYSTEM; DISEASES; GLANDS; HAZARDS; MALE GENITALS; MEDICINE; NUCLEAR MEDICINE; ORGANS; PROCESSING; SURGERY; UNITS
Optional Information
- Copyright
- Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020