Google's lung cancer AI: a promising tool that needs further validation

被引：29

作者：

Jacobs, Colin ^{[1
]}

van Ginneken, Bram ^{[1
]}

机构：

[1] Radboud Univ Nijmegen, Med Ctr, Dept Radiol & Nucl Med, Nijmegen, Netherlands

来源：

NATURE REVIEWS CLINICAL ONCOLOGY | 2019年 / 16卷 / 09期

关键词：

PULMONARY NODULES; CT;

D O I：

10.1038/s41571-019-0248-7

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Researchers from Google AI have presented results obtained using a deep learning model for the detection of lung cancer in screening CT images. The authors report a level of performance similar to, or better than, that of radiologists. However, these claims are currently too strong. The model is promising but needs further validation and could only be implemented if screening guidelines were adjusted to accept recommendations from black-box proprietary AI systems.

引用

页码：532 / 533

页数：3

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