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
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.
artificial intelligence, coronavirus SARS-CoV-2 disease, general, Imaging, machine learning, medicine, radiology, respiratory
Cushnan, Dominic
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Hurst, John
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23 November 2021
Cushnan, Dominic
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Berka, Rosalind
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Bertolli, Ottavia
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Williams, Peter
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Schofield, Daniel
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Joshi, Indra
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Favaro, Alberto
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Halling-Brown, Mark
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Imreh, Gergely
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Jefferson, Emily
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Sebire, Neil J.
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Reilly, Gerry
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Rodrigues, Jonathan C.L.
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Robinson, Graham
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Hardwick, Hayley E.
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Baillie, Kenneth
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Howlett, Andy
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