The AIMe registry for artificial intelligence in biomedical research

J. Matschinske, N. Alcaraz, A. Benis, M. Golebiewski, D.G. Grimm, L. Heumos, T. Kacprowski, O. Lazareva, M. List, Z. Louadi, J.K. Pauling, N. Pfeifer, R. Rottger, V. Schwammle, G. Sturm, A. Traverso, K. Van Steen, M.V. de Freitas, G.C.V. Silva, L. WeeN.K. Wenke, M. Zanin, O. Zolotareva, J. Baumbach*, D.B. Blumenthal*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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.
Original languageEnglish
Pages (from-to)1128-1131
Number of pages4
JournalNature Methods
Volume18
Issue number10
Early online date25 Aug 2021
DOIs
Publication statusPublished - Oct 2021

Keywords

  • OPEN SCIENCE
  • REPRODUCIBILITY
  • GUIDELINES
  • BIAS

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