Artificial intelligence from A to Z: From neural network to legal framework

被引：33
|
作者：
van Assen, Marly [1 ]
Lee, Scott J. [1 ]
De Cecco, Carlo N. [1 ]
机构：
[1] Emory Healthcare Inc, Dept Radiol & Imaging Sci, Div Cardiothorac Imaging, Emory Univ Hosp, Atlanta, GA 30322 USA
来源：
EUROPEAN JOURNAL OF RADIOLOGY | 2020年 / 129卷
关键词：
Artificial intelligence; Cardiac; Chest; CLASSIFICATION; MACHINE; CT; PERFORMANCE;
D O I：
10.1016/j.ejrad.2020.109083
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Artificial intelligence (AI) will continue to cause substantial changes within the field of radiology, and it will become increasingly important for clinicians to be familiar with several concepts behind AI algorithms in order to effectively guide their clinical implementation. This review aims to give medical professionals the basic information needed to understand AI development and research. The general concepts behind several AI algorithms, including their data requirements, training, and evaluation methods are explained. The potential legal implications of using AI algorithms in clinical practice are also discussed.
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页数：7
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