Kahn C E
Department of Radiology, Medical College of Wisconsin, Milwaukee 53226.
Radiographics. 1994 Jul;14(4):849-61. doi: 10.1148/radiographics.14.4.7938772.
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.
整合人工智能技术的计算机系统可以帮助医生做出有关患者护理的决策。在放射学领域，已经开发出一些系统来帮助医生选择合适的放射学检查程序并做出准确的诊断。这些决策支持系统使用诸如基于规则的推理、人工神经网络、超文本、贝叶斯网络和基于案例的推理等技术。本文回顾了这些人工智能技术，描述了它们在放射学中的应用，并讨论了决策支持系统在放射学未来可能发挥的作用。
