Journal article : Review

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Abstract:: The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent evaluation of new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate their impact on health outcomes. The SPIRIT...
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Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Cruz Rivera, S., Liu, X., Chan, A. W., Denniston, A. K., Calvert, M. J., Ashrafian, H., Beam, A. L., Collins, G. S., Darzi, A., Deeks, J. J., ElZarrad, M. K., Espinoza, C., Esteva, A., Faes, L., Ferrante di Ruffano, L., Fletcher, J., Golub, R., Harvey, H., Haug, C., … Yau, C. (2020). Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. Lancet Digital Health, 2(10), e549–e560.

MLA Style

Cruz Rivera, S., et al. “Guidelines for Clinical Trial Protocols for Interventions Involving Artificial Intelligence: the SPIRIT-AI Extension.” Lancet Digital Health, vol. 2, no. 10, Elsevier, 2020, pp. e549–e560.

Chicago Style

Cruz Rivera, S, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, AL Beam, et al. 2020. “Guidelines for Clinical Trial Protocols for Interventions Involving Artificial Intelligence: the SPIRIT-AI Extension.” Lancet Digital Health 2 (10): e549–e560.
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Publisher copy:: 10.1016/S2589-7500(20)30219-3

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+ Cruz Rivera, S More by this author

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+ Liu, X More by this author

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+ Chan, AW More by this author

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+ Denniston, AK More by this author

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+ Calvert, MJ More by this author

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Bibliographic Details

Publisher:: Elsevier
Journal:: Lancet Digital Health More from this journal
Volume:: 2
Issue:: 10
Pages:: e549-e560
Publication date:: 2020-09-09
Acceptance date:: 2020-08-04
DOI:: 10.1016/S2589-7500(20)30219-3
EISSN:: 2589-7500

Item Description

Language:: English
Keywords:: FFR
Subtype:: Review
Pubs id:: 1134965
Local pid:: pubs:1134965
Deposit date:: 2020-11-11

Terms of use

Copyright holder:: Cruz Rivera et al.
Copyright date:: 2020
Rights statement:: Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license

Licence:: CC Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

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