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

NCT07127939 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1024

Last updated 2025-08-17

No results posted yet for this study

Summary

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

Conditions

  • Ophthalmic Imaging
  • Deep Learning
  • Artificial Intelligence (AI)
  • Traditional Chinese Medicine Constitution

Interventions

DIAGNOSTIC_TEST

AI-based Ocular Diagnosis Model for TCM Constitutions

AI-based Ocular Diagnosis Model for Identifying Traditional Chinese Medicine (TCM) Constitutions

Sponsors & Collaborators

  • Second Affiliated Hospital of Nanchang University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2028-12-31
Completion
2028-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07127939 on ClinicalTrials.gov