The AIMe registry for artificial intelligence in biomedical research

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

Journal

Book Volume: 18

Pages Range: 1128 - 1131

URI: https://rdcu.be/cv5H7

DOI: 10.1038/s41592-021-01241-0

Open Access Link: https://rdcu.be/cv5H7

Abstract

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.

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How to cite

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://dx.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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