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PMID: 7938772 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Artificial intelligence in radiology: decision support systems.

Kahn CE

Abstract

Computer-based systems that incorporate artificial intelligence techniques can help physicians make decisions about their patients' care. In radiology, systems have been developed to help physicians choose appropriate radiologic procedures and to formulate accurate diagnoses. These decision support systems use techniques such as rule-based reasoning, artificial neural networks, hypertext, Bayesian networks, and case-based reasoning. This article reviews these artificial intelligence techniques, describes their application in radiology, and discusses the role that decision support systems may play in radiology's future.

MeSH Terms
Artificial Intelligence Decision Support Techniques Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Radiology Radiology Information Systems
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Kahn C E
Department of Radiology, Medical College of Wisconsin, Milwaukee 53226.
Article Info
Journal
Radiographics : a review publication of the Radiological Society of North America, Inc
Abbr.
Radiographics
ISSN
0271-5333
Published
1994-07-00
Pages
849-61
Language
English
Region
United States
NLM ID
8302501
Subset
IM
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