ARTIFICIAL-INTELLIGENCE IN RADIOLOGY - DECISION-SUPPORT SYSTEMS

被引：64

作者：

KAHN, CE

机构：

[1] Department of Radiology, Medical College of Wisconsin, Milwaukee

来源：

RADIOGRAPHICS | 1994年 / 14卷 / 04期

关键词：

COMPUTERS; DIAGNOSTIC AID; NEURAL NETWORK;

D O I：

10.1148/radiographics.14.4.7938772

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：849 / 861

页数：13

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