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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

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Copyright
Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020