Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10243-9.pdf
Reference38 articles.
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4. Prinz F, Schlange T, Asadullah K (2011) Believe it or not: how much can we rely on published data on potential drug targets? Nat Rev Drug Discov 10:712–712. https://doi.org/10.1038/nrd3439-c1
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1. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update;Radiology: Artificial Intelligence;2024-07-01
2. Explanation and Elaboration with Examples for CLEAR (CLEAR-E3): an EuSoMII Radiomics Auditing Group Initiative;European Radiology Experimental;2024-05-14
3. 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;2024-02-20
4. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII;Insights into Imaging;2024-01-17
5. Self-reported checklists and quality scoring tools in radiomics: a meta-research;European Radiology;2024-01-05
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