QUALITY

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

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

Original source publication date:

CLAIM provides a structured way to report AI research in medical imaging.

What the paper explores

This journal editorial introduces the Checklist for Artificial Intelligence in Medical Imaging. It adapts established reporting principles to applications including classification, image reconstruction, text analysis and workflow optimization, emphasizing sufficient methodological detail for critical review and reproducibility.

How to interpret the evidence

CLAIM is a reporting framework rather than a clinical validation study or regulatory standard. A complete manuscript can still describe a model with limited generalizability.

Questions for MedTech teams

Use a clear reporting structure to connect data selection, methods and results. Review subsequent versions of reporting frameworks before applying them to a new study.

Sources & further reading

Read original paper

DOI: 10.1148/ryai.2020200029

Bibliographic record and abstract on PubMed

This is a short editorial reading note on external research. The original research is attributed to its authors and does not represent an HMC study, product validation or regulatory determination.

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