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Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Abstract:

Introduction Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not address the issues and challenges raised by artificial intelligence (AI)-centred interventions. As such, we propose an AI-specific version of the STARD checklist (STARD-AI), which focuses on the reporting of AI diagnostic test accur... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1136/bmjopen-2020-047709

Authors


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Role:
Author
ORCID:
0000-0002-4595-8402

Contributors

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Name:
NIHR Applied Research Collaboration
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Name:
National Institute for Health Research
Publisher:
BMJ Publishing Group
Journal:
BMJ Open More from this journal
Volume:
11
Issue:
6
Article number:
e047709
Publication date:
2021-06-28
Acceptance date:
2021-06-08
DOI:
EISSN:
2044-6055
ISSN:
2044-6055
Pmid:
34183345
Language:
English
Keywords:
Pubs id:
1184344
Local pid:
pubs:1184344
Deposit date:
2021-10-29

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