Development of a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine (TRAPODS-CM): a Delphi study
A multidisciplinary panel of experts used the Delphi consensus method to create the TRAPODS-CM reporting guideline. This tool is designed to improve the transparency and reproducibility of AI-based diagnostic models specifically within the field of Chinese medicine.
Why it matters
Standardizing reporting for AI in traditional medicine ensures that diagnostic models are reliable and clinically valid, bridging the gap between modern AI and traditional diagnostic principles.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
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