The AIMe registry for artificial intelligence in biomedical research

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.

Publikationsart: Zeitschriftenbeiträge (peer-reviewed)
Titel: The AIMe registry for artificial intelligence in biomedical research
Medien: Nature Methods
DOI: 10.1038/s41592-021-01241-0
Band: 18
ISBN: ISSN: 1548-7105
Autoren: Julian Matschinske, Nicolas Alcaraz, Arriel Benis, Martin Golebiewski, Prof. Dr. Dominik Grimm , Lukas Heumos, Tim Kacprowski, Olga Lazareva, Markus List, Zakaria Louadi, Josch Pauling, Nico Pfeifer, Richard Röttger, Veit Schwämmle, Gregor Sturm, Alberto Traverso, Kristel Van Steen, Martiela Vaz de Freitas, Gerda Cristal Villalba Silva, Leonard Wee, Nina Wenke, Massimiliano Zanin, Olga Zolotareva, Jan Baumbach, David B. Blumenthal
Seiten: 1128-1131
Veröffentlichungsdatum: 25.08.2021
Zitation: Matschinske, J.; Alcaraz, N.; Benis, A.; Golebiewski, M.; Grimm, D.; Heumos, L.; Kacprowski, T.; Lazareva, O.; List, M.; Louadi, Z.; Pauling, J.; Pfeifer, N.; Röttger, R.; Schwämmle, V.; Sturm, G.; Traverso, A.; Van Steen, K.; Vaz de Freitas, M.; Villalba Silva, G.; Wee, L.; Wenke, N.; Zanin, M.; Zolotareva, O.; Baumbach, J.; Blumenthal, D. (2021): The AIMe registry for artificial intelligence in biomedical research. Nature Methods 18, S. 1128-1131. DOI: 10.1038/s41592-021-01241-0

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