● Recruiting

Diagnostic Performance of an AI-based Model for TCM Constitution Classification Using Ophthalmic Imaging

Condition: Ophthalmic Imaging · Deep Learning · Artificial Intelligence (AI) · Sponsor: Second Affiliated Hospital of Nanchang University

PhaseN/A

Planned participants1024

Who can joinAll sexes, 18 Years to 45 Years

Healthy volunteersYes

About this study

To evaluate the diagnostic performance of a multimodal deep learning model for identifying biased Traditional Chinese Medicine (TCM) constitutions using ophthalmic imaging

This description comes directly from the study's public registry record.

Talk to the study team

Jiang Xiong · +8618170906556 · 894040417@qq.com

Always discuss trial participation with your own doctor first.

Locations (1)

The Second Affiliated Hospital of Nanchang University

Nanchang, Jiangxi, China

Recruiting

Follow this study

Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.

We email about this public record only. Unsubscribe anytime with one click. Never medical advice.

Is this your study? This page was generated automatically from the public registry record. Sponsors can claim it — free — to add branding and verified contact routing. Claim this page →

This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.

Source record: clinicaltrials.gov/study/NCT07127939