Journal article : Review
Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective
- Abstract:
- The measures to control the COVID-19 outbreak will likely remain a feature of our working lives until a suitable vaccine or treatment is found. The pandemic has had a substantial impact on clinical services, including cancer pathways. Pathologists are working remotely in many circumstances to protect themselves, colleagues, family members and the delivery of clinical services. The effects of COVID-19 on research and clinical trials have also been significant with changes to protocols, suspensions of studies and redeployment of resources to COVID-19. In this article, we explore the specific impact of COVID-19 on clinical and academic pathology and explore how digital pathology and artificial intelligence can play a key role to safeguarding clinical services and pathology-based research in the current climate and in the future.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, 291.3KB, Terms of use)
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- Publisher copy:
- 10.1136/jclinpath-2020-206854
Authors
- Publisher:
- BMJ Publishing Group
- Journal:
- Journal of Clinical Pathology More from this journal
- Volume:
- 74
- Issue:
- 7
- Pages:
- 443-447
- Publication date:
- 2020-07-03
- Acceptance date:
- 2020-06-15
- DOI:
- EISSN:
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1472-4146
- ISSN:
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0021-9746
- Pmid:
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32620678
- Language:
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English
- Keywords:
- Subtype:
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Review
- Pubs id:
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1119634
- Local pid:
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pubs:1119634
- Deposit date:
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2020-07-31
Terms of use
- Copyright holder:
- Browning et al.
- Copyright date:
- 2020
- Rights statement:
- © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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