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如何设计核医学中的人工智能驱动临床试验。

How to Design AI-Driven Clinical Trials in Nuclear Medicine.

机构信息

GE Healthcare, Chicago, IL.

Barcelona Supercomputing Centre, Barcelona, ES.

出版信息

Semin Nucl Med. 2021 Mar;51(2):112-119. doi: 10.1053/j.semnuclmed.2020.09.003. Epub 2020 Oct 17.

Abstract

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.

摘要

人工智能(AI)是一个总称,涵盖了目前在医学和医学影像领域的多个领域中讨论和引入的多种技术。然而,关于如何将 AI 技术集成到临床影像试验设计中的文献和信息有限。本文将介绍当前在试验中使用的 AI 的几个方面,以及影像科,特别是核医学科如何为成为 AI 驱动的临床试验的前沿做好准备。本文首先对当前使用的 AI 技术和实施所面临的挑战进行一些基本的解释,还将涵盖核医学科成功参与 AI 驱动的临床试验所必需的后勤前提条件。

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