How to Design AI-Driven Clinical Trials in Nuclear Medicine

被引：11

作者：

Delso, Gaspar ^{[1
]}

Cirillo, Davide ^{[2
]}

Kaggie, Joshua D. ^{[3
]}

Valencia, Alfonso ^{[2
]}

Metser, Ur ^{[4
]}

Veit-Haibach, Patrick ^{[4
]}

机构：

[1] GE Healthcare, Chicago, IL USA

[2] Barcelona Supercomp Ctr, Barcelona, ES, Spain

[3] Univ Cambridge, Dept Radiol, Cambridge, England

[4] Univ Hlth Network, Joint Dept Med Imaging, Toronto, ON, Canada

来源：

SEMINARS IN NUCLEAR MEDICINE | 2020年 / 51卷 / 02期

关键词：

D O I：

10.1053/j.semnuclmed.2020.09.003

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) is an overarching term for a multitude of technologies which are currently being discussed and introduced in several areas of medicine and in medical imaging specifically. There is, however, limited literature and information about how AI techniques can be integrated into the design of clinical imaging trials. This article will present several aspects of AI being used in trials today and how imaging departments and especially nuclear medicine departments can prepare themselves to be at the forefront of AI driven clinical trials. Beginning with some basic explanation on AI techniques currently being used and existing challenges of its implementation, it will also cover the logistical prerequisites which have to be in place in nuclear medicine departments to participate successfully in AI-driven clinical trials. (c) 2020 Elsevier Inc. All rights reserved.

引用

页码：112 / 119

页数：8

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