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

Systematic Review Protocols (268) Clinical Information and Decision Making (1407) Machine Learning (1465) Decision Support for Health Professionals (1185) Artificial Intelligence (1371) Artificial Intelligence (86)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47105, first published .
Guidelines and Standard Frameworks for AI in Medicine: Protocol for a Systematic Literature Review

Guidelines and Standard Frameworks for AI in Medicine: Protocol for a Systematic Literature Review

Guidelines and Standard Frameworks for AI in Medicine: Protocol for a Systematic Literature Review

Authors of this article:

Kirubel Biruk Shiferaw1 Author Orcid Image ;   Moritz Roloff1 Author Orcid Image ;   Dagmar Waltemath1 Author Orcid Image ;   Atinkut Alamirrew Zeleke1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Assié G, Allassonnière S. Artificial Intelligence in Endocrinology: On Track Toward Great Opportunities. The Journal of Clinical Endocrinology & Metabolism 2024;109(6):e1462 View
  2. Kocak B, Ponsiglione A, Stanzione A, Ugga L, Klontzas M, Cannella R, Cuocolo R. CLEAR guideline for radiomics: Early insights into current reporting practices endorsed by EuSoMII. European Journal of Radiology 2024;181:111788 View
  3. Shiferaw K, Balaur I, Welter D, Waltemath D, Zeleke A. CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicine. JAMIA Open 2024;7(4) View