Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers-Reference-Cited by-同舟云学术

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers

Published:2020-03-01 Issue:2 Volume:2 Page:e200029
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Mongan John¹^ORCID,Moy Linda¹,Kahn Charles E.¹^ORCID

Affiliation:

1. From the Department of Radiology and Biomedical Imaging, University of California–San Francisco, San Francisco, Calif (J.M.); Department of Radiology and Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY (L.M.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.).

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2020200029

Reference27 articles.

1. Artificial Intelligence, Real Radiology

2. STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies

3. Towards Complete and Accurate Reporting of Studies of Diagnostic Accuracy: The STARD Initiative

4. The STARD initiative

5. STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

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