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Other ORP type . 2022
License: CC BY
Data sources: Datacite
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Other ORP type . 2022
License: CC BY
Data sources: Datacite
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Workshop report – How can we use imaging data to better understand cardiovascular disease?

Authors: BHF Data Science Centre;

Workshop report – How can we use imaging data to better understand cardiovascular disease?

Abstract

Cardiovascular imaging research has huge potential to improve patient care and the UK is world-leading in its cardiovascular imaging research. However, the full realisation of this potential will require the harnessing of new large-scale data science resources, linkage to other health data, and novel analysis and machine learning techniques. The British Heart Foundation (BHF) Data Science Centre Imaging Workshop brought together a wide range of stakeholders to explore the opportunities and challenges to improve cardiovascular imaging research, and address the central question of How can we use imaging data to better understand cardiovascular disease? The insights gathered in the workshop have been used to guide our plans in this area, with the aim of advancing the use of imaging data in cardiovascular disease research to improve patient care. We plan to identify and obtain consensus on priorities in cardiovascular imaging research, to address key challenges in delivering these such as data access, storage, processing, and linkage to heath data, and to engage with patients and the public to obtain and maintain trust.

Keywords

nuclear imaging, workshop report, cardiovascular disease, invasive coronary angiography, magnetic resonance imaging, echocardiography, computed tomography, cardiovascular imaging, British Heart Foundation Data Science Centre, cardiovascular research

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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