Journal article
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19
- Abstract:
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Background Direct evaluation of vascular inflammation in patients with COVID-19 would facilitate more efficient trials of new treatments and identify patients at risk of long-term complications who might respond to treatment. We aimed to develop a novel artificial intelligence (AI)-assisted image analysis platform that quantifies cytokine-driven vascular inflammation from routine CT angiograms, and sought to validate its prognostic value in COVID-19. Methods For this prospective outcomes vali...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.5MB, Terms of use)
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- Publisher copy:
- 10.1016/s2589-7500(22)00132-7
Authors
Bibliographic Details
- Publisher:
- Elsevier
- Journal:
- Lancet Digital Health More from this journal
- Volume:
- 4
- Issue:
- 10
- Pages:
- e705-e716
- Publication date:
- 2022-08-26
- Acceptance date:
- 2022-08-01
- DOI:
- EISSN:
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2589-7500
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1276221
- Local pid:
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pubs:1276221
- Deposit date:
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2022-08-27
Terms of use
- Copyright holder:
- Kotanidis et al.
- Copyright date:
- 2022
- Rights statement:
- © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article published under CC BY 4.0.
- Licence:
- CC Attribution (CC BY)
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