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Artificial intelligence in radiology: decision support systems.
Kahn CE Jr.
Department of Radiology, Medical College of Wisconsin, Milwaukee 53226.
Radiographics. 1994 Jul;14(4):849-61
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.
Posted via PubMed for educational and discussion purposes only.
Link to PubMed Reference
Department of Radiology, Medical College of Wisconsin, Milwaukee 53226.
Radiographics. 1994 Jul;14(4):849-61
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.
Posted via PubMed for educational and discussion purposes only.
Link to PubMed Reference
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