The AIMe registry for artificial intelligence in biomedical research

• DOI: 10.1038/s41592-021-01241-0
• Publication Date: 2021-08-25T16:03:37Z
• Authors: Julian Matschinske; Nicolas Alcaraz; Arriel Benis; Martin Golebiewski; Dominik G. Grimm; Lukas Heumos; Tim Kacprowski; Olga Lazareva; Markus List; Zakaria Louadi; Josch K. Pauling; Nico Pfeifer; Richard Röttger; Veit Schwämmle; Gregor Sturm; Alberto Traverso; Kristel Van Steen; Martiela Vaz de F...; Gerda Cristal Vil...; Leonard Wee; Nina K. Wenke; Massimiliano Zanin; Olga Zolotareva; Jan Baumbach; David B. Blumenthal
• Keywords: Standards; Biomedical Research; 0206 medical engineering; Computational Biology; 02 engineering and technology; GUIDELINES; 3. Good health; OPEN SCIENCE; BIAS; Artificial Intelligence; Research Design; REPRODUCIBILITY; Machine learning; Registries; Software

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.