Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic.
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic.
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DOI：
10.1177/20552076211048654
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发表时间：
2021-01
期刊：
影响因子：
3.9
通讯作者：
Jacob J
中科院分区：
文献类型：
--
作者：
Cushnan D;Berka R;Bertolli O;Williams P;Schofield D;Joshi I;Favaro A;Halling-Brown M;Imreh G;Jefferson E;Sebire NJ;Reilly G;Rodrigues JCL;Robinson G;Copley S;Malik R;Bloomfield C;Gleeson F;Crotty M;Denton E;Dickson J;Leeming G;Hardwick HE;Baillie K;Openshaw PJ;Semple MG;Rubin C;Howlett A;Rockall AG;Bhayat A;Fascia D;Sudlow C;NCCID Collaborative;Jacob J
冠状病毒SARS-CoV-2疾病的流行导致了前所未有的健康数据收集，以支持研究。从历史上看，在全国范围内协调这些数据集的整理一直是一项挑战，原因有几个，包括数据隐私问题，缺乏数据报告标准，互操作技术和分发方法。冠状病毒SARS-CoV-2疾病大流行凸显了政府机构、医疗机构、学术研究人员和商业公司之间合作的重要性，以在紧急时期克服这些问题。由NHSX、英国胸部成像学会、皇家萨里NHS基金会信托基金和学院领导的国家COVID-19胸部成像数据库就是这样一个国家倡议的例子。在这里，我们总结了建立国家COVID-19胸部成像数据库的经验和挑战，以及对未来医疗成像国家数据管理的雄心的影响，以促进人工智能在医疗保健中的安全采用。
The prevalence of the coronavirus SARS-CoV-2 disease has resulted in the unprecedented collection of health data to support research. Historically, coordinating the collation of such datasets on a national scale has been challenging to execute for several reasons, including issues with data privacy, the lack of data reporting standards, interoperable technologies, and distribution methods. The coronavirus SARS-CoV-2 disease pandemic has highlighted the importance of collaboration between government bodies, healthcare institutions, academic researchers and commercial companies in overcoming these issues during times of urgency. The National COVID-19 Chest Imaging Database, led by NHSX, British Society of Thoracic Imaging, Royal Surrey NHS Foundation Trust and Faculty, is an example of such a national initiative. Here, we summarise the experiences and challenges of setting up the National COVID-19 Chest Imaging Database, and the implications for future ambitions of national data curation in medical imaging to advance the safe adoption of artificial intelligence in healthcare.
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影响因子：
3.1
作者：
Ford, Elizabeth;Boyd, Andy;Sperrin, Matthew
通讯作者：
Sperrin, Matthew
影响因子：
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作者：
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DOI：
10.1136/bmj.n304
发表时间：
2021-03-15
期刊：
BMJ (Clinical research ed.)
影响因子：
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Leslie D;Mazumder A;Peppin A;Wolters MK;Hagerty A
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通讯作者：
Wang W
影响因子：
16.6
作者：
Jin C;Chen W;Cao Y;Xu Z;Tan Z;Zhang X;Deng L;Zheng C;Zhou J;Shi H;Feng J
通讯作者：
Feng J