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Abstract In recent years, artificial intelligence (AI) prediction models have gained traction in Chinese medicine (CM) diagnostics. However, existing reporting guidelines, largely based on modern medicine diagnostic frameworks, have limited applicability to CM due to fundamental differences in diagnostic approaches. This highlights the need for a tailored reporting standard. This study develops a transparent reporting guideline for CM diagnostic AI models using the Delphi consensus method.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
