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

Editorial (2) Artificial Intelligence (1421)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47995, first published .
Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies

Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies

Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies

Authors of this article:

Khaled El Emam1, 2 Author Orcid Image ;   William Klement1, 2 Author Orcid Image ;   Bradley Malin3 Author Orcid Image
Article Authors Cited by (3) Tweetations (8) Metrics

Journals

  1. Klement W, El Emam K. Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation. Journal of Medical Internet Research 2023;25:e48763 View
  2. El Emam K, Leung T, Malin B, Klement W, Eysenbach G. Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS). Journal of Medical Internet Research 2024;26:e52508 View
  3. Koçak B, Keleş A, Köse F. Meta-research on reporting guidelines for artificial intelligence: are authors and reviewers encouraged enough in radiology, nuclear medicine, and medical imaging journals?. Diagnostic and Interventional Radiology 2024;0(0):0 View