Matschinske J, Benis A, Alcaraz N, Golebiewski M, Grimm DG, Heumos L, Kacprowski T, Lazareva O, List M, Louadi Z, Pauling JK, Pfeifer N, Röttger R, Schwämmle V, Sturm G, Traverso A, Van Steen K, de Freitas MV, Villalba Silva GC, Wee L, Wenke NK, Zanin M, Zolotareva O, Baumbach J, Blumenthal DB (2021)
Publication Language: English
Publication Type: Journal article
Publication year: 2021
Book Volume: 18
Pages Range: 1128 - 1131
DOI: 10.1038/s41592-021-01241-0
Open Access Link: https://rdcu.be/cv5H7
We present the AIMe registry, a community-driven reporting platform for AI in biomedicine. It aims to enhance the accessibility, reproducibility and usability of biomedical AI models, and allows future revisions by the community.
APA:
Matschinske, J., Benis, A., Alcaraz, N., Golebiewski, M., Grimm, D.G., Heumos, L.,... Blumenthal, D.B. (2021). The AIMe registry for artificial intelligence in biomedical research. Nature Methods, 18, 1128 - 1131. https://doi.org/10.1038/s41592-021-01241-0
MLA:
Matschinske, Julian, et al. "The AIMe registry for artificial intelligence in biomedical research." Nature Methods 18 (2021): 1128 - 1131.
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