ARTIFICIAL-INTELLIGENCE IN RADIOLOGY - DECISION-SUPPORT SYSTEMS

Authors
Citation
Ce. Kahn, ARTIFICIAL-INTELLIGENCE IN RADIOLOGY - DECISION-SUPPORT SYSTEMS, Radiographics, 14(4), 1994, pp. 849-861
Citations number
46
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging
Journal title
ISSN journal
02715333
Volume
14
Issue
4
Year of publication
1994
Pages
849 - 861
Database
ISI
SICI code
0271-5333(1994)14:4<849:AIR-DS>2.0.ZU;2-4
Abstract
Computer-based systems that incorporate artificial intelligence techni ques can help physicians make decisions about their patients' care. In radiology, systems have been developed to help physicians choose appr opriate radiologic procedures and to formulate accurate diagnoses. The se decision support systems use techniques such as rule-based reasonin g, artificial neural networks, hypertext, Bayesian networks, and case- based reasoning. This article reviews these artificial intelligence te chniques, describes their application in radiology, and discusses the role that decision support systems may play in radiology's future.