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人工神经网络在胃肠病学中应用的国际经验。

International experience on the use of artificial neural networks in gastroenterology.

作者信息

Grossi E, Mancini A, Buscema M

机构信息

Bracco Spa Medical Department, Via E Folli 50, 20136 Milan, Italy.

出版信息

Dig Liver Dis. 2007 Mar;39(3):278-85. doi: 10.1016/j.dld.2006.10.003. Epub 2007 Feb 1.

Abstract

In this paper, we reconsider the scientific background for the use of artificial intelligence tools in medicine. A review of some recent significant papers shows that artificial neural networks, the more advanced and effective artificial intelligence technique, can improve the classification accuracy and survival prediction of a number of gastrointestinal diseases. We discuss the 'added value' the use of artificial neural networks-based tools can bring in the field of gastroenterology, both at research and clinical application level, when compared with traditional statistical or clinical-pathological methods.

摘要

在本文中,我们重新审视了在医学中使用人工智能工具的科学背景。对一些近期重要论文的综述表明,人工神经网络作为更先进、有效的人工智能技术,能够提高多种胃肠道疾病的分类准确率和生存预测能力。我们讨论了与传统统计方法或临床病理方法相比,基于人工神经网络的工具在胃肠病学领域的研究和临床应用层面所能带来的“附加值”。

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