Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology
Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology
复制标题
DOI：
10.1148/ryai.2019190021
复制
发表时间：
2019-03-01
期刊：
影响因子：
--
通讯作者：
Langlotz, Curtis P.
中科院分区：
文献类型：
--
作者：
Chokshi, Falgun H.;Flanders, Adam E.;Langlotz, Curtis P.
2018年RSNA放射学人工智能峰会汇集了不同的利益相关者，以确定和优先考虑与放射学人工智能相关的需求领域。本文介绍了会议的程序，强调RSNA在放射学的这一重要时期在领导，组织和催化变革中的作用。(C)RSNA，2019
The 2018 RSNA Summit on AI in Radiology brought together a diverse group of stakeholders to identify and prioritize areas of need related to artificial intelligence in radiology. This article presents the proceedings of the summit with emphasis on RSNA's role in leading, organizing, and catalyzing change during this important time in radiology. (C) RSNA, 2019