Validation and regulation of medical neural networks.

D. Rodvold
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引用次数: 8

Abstract

Using artificial neural networks (ANNs) in medical applications can be challenging because of the often-experimental nature of ANN construction and the "black box" label that is frequently attached to them. In the US, medical neural networks are regulated by the Food and Drug Administration. This article briefly discusses the documented FDA policy on neural networks and the various levels of formal acceptance that neural network development groups might pursue. To assist medical neural network developers in creating robust and verifiable software, this paper provides a development process model targeted specifically to ANNs for critical applications.
医学神经网络的验证与调控。
在医疗应用中使用人工神经网络(ANN)可能具有挑战性,因为ANN结构通常具有实验性质,并且经常附加在其上的“黑匣子”标签。在美国,医疗神经网络是由食品和药物管理局监管的。本文简要讨论了FDA关于神经网络的政策文件,以及神经网络开发小组可能追求的各种级别的正式接受。为了帮助医学神经网络开发人员创建鲁棒性和可验证的软件,本文提供了一个针对关键应用的人工神经网络的开发过程模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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