This paper is in the following e-collection/theme issue:

Editorial (49) Artificial Intelligence (1371) Machine Learning (1465) Digital Science, Open Science (79) Digital Health Reporting Standards, Quality and Transparency in e-Research (71) Development and Evaluation of Research Methods, Instruments and Tools (481) Knowledge Translation and Implementation Science (398)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52508, first published .
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

Authors of this article:

Khaled El Emam1, 2 Author Orcid Image ;   Tiffany I Leung3, 4 Author Orcid Image ;   Bradley Malin5 Author Orcid Image ;   William Klement2 Author Orcid Image ;   Gunther Eysenbach3, 6 Author Orcid Image
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