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Transparency and reproducibility in artificial intelligence.

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dc.contributor.authorHaibe-Kains, Benjamin
dc.contributor.authorAdam, George Alexandru
dc.contributor.authorHosny, Ahmed
dc.contributor.authorKhodakarami, Farnoosh
dc.contributor.authorMassive Analysis Quality Control (MAQC) Society Board of Directors
dc.contributor.authorWaldron, Levi
dc.contributor.authorWang, Bo
dc.contributor.authorMcIntosh, Chris
dc.contributor.authorGoldenberg, Anna
dc.contributor.authorKundaje, Anshul
dc.contributor.authorGreene, Casey S
dc.contributor.authorBroderick, Tamara
dc.contributor.authorHoffman, Michael M
dc.contributor.authorLeek, Jeffrey T
dc.contributor.authorKorthauer, Keegan
dc.contributor.authorHuber, Wolfgang
dc.contributor.authorBrazma, Alvis
dc.contributor.authorPineau, Joelle
dc.contributor.authorTibshirani, Robert
dc.contributor.authorHastie, Trevor
dc.contributor.authorIoannidis, John P A
dc.contributor.authorQuackenbush, John
dc.contributor.authorAerts, Hugo J W L
dc.date.accessioned2023-02-09T09:43:52Z
dc.date.available2023-02-09T09:43:52Z
dc.date.issued2020-10-14
dc.description.abstractBreakthroughs in artificial intelligence (AI) hold enormous potential as it can automate complex tasks and go even beyond human performance. In their study, McKinney et al. showed the high potential of AI for breast cancer screening. However, the lack of methods’ details and algorithm code undermines its scientific value. Here, we identify obstacles hindering transparent and reproducible AI research as faced by McKinney et al., and provide solutions to these obstacles with implications for the broader field.
dc.identifier.doi10.1038/s41586-020-2766-y
dc.identifier.essn1476-4687
dc.identifier.pmcPMC8144864
dc.identifier.pmid33057217
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144864/pdf
dc.identifier.unpaywallURLhttps://cris.maastrichtuniversity.nl/ws/files/75369807/Aerts_2020_Transparency_and_reproducibility_in_artificial.pdf
dc.identifier.urihttp://hdl.handle.net/10668/16422
dc.issue.number7829
dc.journal.titleNature
dc.journal.titleabbreviationNature
dc.language.isoen
dc.organizationHospital Universitario Virgen del Rocío
dc.page.numberE14-E16
dc.pubmedtypeLetter
dc.pubmedtypeComment
dc.rights.accessRightsopen access
dc.subject.meshAlgorithms
dc.subject.meshArtificial Intelligence
dc.subject.meshReproducibility of Results
dc.titleTransparency and reproducibility in artificial intelligence.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number586
dspace.entity.typePublication

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