Cited by 143Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and EducationClinical practice guidelines implementation

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PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

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Cacciamani, Giovanni E., Chu, Timothy N., Sanford, Daniel I., Abreu, Andre, Duddalwar, Vinay, Oberai, Assad, Kuo, C.-C. Jay, Liu, Xiaoxuan, Denniston, Alastair K., Vasey, Baptiste, McCulloch, Peter, Wolff, Robert F., Mallett, Sue, Mongan, John, Kahn, Charles E., Sounderajah, Viknesh, Darzi, Ara, Dahm, Philipp, Moons, Karel G. M., Topol, Eric, Collins, Gary S., Moher, David, Gill, Inderbir S., Hung, Andrew J.·2023·Nature Medicine

DOI 10.1038/s41591-022-02139-w

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“Data is the cornerstone upon which AI advancements are built and the description of the included data for algorithm training and of datasets are critical for improving reproducibility and identify possible biases in AI development [9, 10].”
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“AI speci ﬁ c reporting guidelines, or extensions are available for many different types of study, however some were published after the included studies were published and gaps in AI-speci ﬁ c guidelines for different study types remain 2,3 .”
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“…review of the literature has been carried out, adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol framework (Page et al., 2021) as the organizational model to be followed, which ensures rigor and transparency in the process (Cacciamani et al., 2023).”
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“Moreover, the PRISMA-AI guideline is currently evolving to address the unique challenges associated with conducting systematic reviews in the era of artificial intelligence [2].”
Influential
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Authors: Cacciamani, G. E., Chu, T. N., Sanford, D. I., Abreu, A., Duddalwar, V., Oberai, A., Kuo, C.-C. J., Liu, X., Denniston, A. K., Vasey, B., McCulloch, P., Wolff, R. F., Mallett, S., Mongan, J., Kahn, C. E., Sounderajah, V., Darzi, A., Dahm, P., Moons, K. G. M., Topol, E., Collins, G. S., Moher, D., Gill, I. S., & Hung, A. J.
Affiliations: University of Southern California (US)
University Hospitals Birmingham NHS Foundation Trust (GB)
University of Oxford (GB)
Kleijnen Systematic Reviews (United Kingdom) (GB)
University of California, San Francisco (US)
University of Pennsylvania (US)
Imperial College London (GB)
University of Minnesota (US)
Utrecht University (NL)
Scripps Research Institute (US)
Ottawa Hospital Research Institute (CA)
Corresponding author: Cacciamani, Giovanni E.
ORCID: Cacciamani, Giovanni E.
Duddalwar, Vinay
Oberai, Assad
Kuo, C.-C. Jay
Liu, Xiaoxuan
Denniston, Alastair K.
Vasey, Baptiste
McCulloch, Peter
Wolff, Robert F.
Mallett, Sue
Mongan, John
Kahn, Charles E.
Sounderajah, Viknesh
Darzi, Ara
Dahm, Philipp
Moons, Karel G. M.
Topol, Eric
Collins, Gary S.
Moher, David
Gill, Inderbir S.
Hung, Andrew J.
Venue: Nature Medicine
Publisher: Springer Science and Business Media LLC
Published: 2023-01
Volume: 29
Issue: 1
Pages: 14-15
ISSN: 1078-8956 (ISSN-L)
1546-170X
DOI: 10.1038/s41591-022-02139-w
OpenAlex: W4316507599
Cited by: 143
References: 10
Citations by year: 2026: 42 · 2025: 50 · 2024: 42 · 2023: 9
FWCI: 8.88
Type: journal article
Language: en
Open access: green
discovery.ucl.ac.uk
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Nature Medicine (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
Funders: Alan Turing Institute (TU/ASG/R-SPEH-113)
Cancer Research UK (27294)
National Institute for Health and Care Research (NIHR205103, NF-SI-0510-10186, NF-SI-0617-10038)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
Keywords: reporting guidelines, artificial intelligence in healthcare, systematic reviews, meta-analysis
MeSH terms: Artificial Intelligence, Delivery of Health Care, Publishing, Checklist

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