Validation and regulation of medical neural networks

被引:3
|
作者
Rodvold, DM [1 ]
机构
[1] Booz Allen & Hamilton Inc, Colorado Springs, CO 80910 USA
关键词
D O I
10.1089/10915360152745803
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:141 / 145
页数:5
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