As artificial intelligence moves into the realm of clinical trials, consideration is needed on whether the current CONSORT and SPIRIT reporting statements are sufficient to ensure transparency.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
Saudi Pharmaceutical Journal Open Access 24 December 2025
-
A systematic review on the efficacy of artificial intelligence in geriatric healthcare: a critical analysis of current literature
BMC Geriatrics Open Access 11 April 2025
-
Forecasting the future of smart hospitals: findings from a real-time delphi study
BMC Health Services Research Open Access 18 November 2024
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout
Change history
12 November 2019
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
References
US Food and Drug Administration. Artificial Intelligence and Machine Learning in Software as a Medical Device (accessed 18 September 2019). https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device
Chalmers, I., Glasziou, P., Heneghan, C., Shepperd, S., Loudon, K. & Bossuyt, P. M. Avoidable waste in the production and reporting of research evidence. Lancet 374, 86–89 (2009).
Schulz, K. F., Altman, D. G. & Moher, D., for the CONSORT Group. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. Int. J. Surg. 9, 672–677 (2011).
Chan, A. W., Tetzlaff, J. M., Altman, D. G., Dickersin, K. & Moher, D. SPIRIT 2013: new guidance for content of clinical trial protocols. Lancet 381, 91–92 (2013).
EQUATOR Network. Reporting guidelines under development (EQUATOR Network, accessed 4 August 2019); http://www.equator-network.org/library/reporting-guidelines-under-development/
Collins, G. S. & Moons, K. G. M. Reporting of artificial intelligence prediction models. Lancet 393, 1577–1579 (2019).
Acknowledgements
This initiative is funded by the Wellcome Trust, Health Data Research UK and the Alan Turing Institute.
Author information
Authors and Affiliations
Consortia
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
The CONSORT-AI and SPIRIT-AI Steering Group. Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed. Nat Med 25, 1467–1468 (2019). https://doi.org/10.1038/s41591-019-0603-3
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41591-019-0603-3
This article is cited by
-
AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
Saudi Pharmaceutical Journal (2026)
-
Generative AI-based low-dose digital subtraction angiography for intra-operative radiation dose reduction: a randomized controlled trial
Nature Medicine (2026)
-
A systematic review on the efficacy of artificial intelligence in geriatric healthcare: a critical analysis of current literature
BMC Geriatrics (2025)
-
Application of large language models in medicine
Nature Reviews Bioengineering (2025)
-
Letter to The Rise of Intelligent Plastic Surgery: A 10-Year Bibliometric Journey Through AI Applications, Challenges, and Transformative Potential
Aesthetic Plastic Surgery (2025)