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Artificial intelligence in radiology: decision support systems Kahn CE JrRadiographics 1994[Jul]; 14 (4): 849-61Computer-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.|*Artificial Intelligence[MESH]|*Radiology[MESH]|Decision Support Techniques[MESH]|Humans[MESH]|Neural Networks, Computer[MESH]|Radiographic Image Interpretation, Computer-Assisted[MESH]|Radiology Information Systems[MESH] |
