Trials / Recruiting
RecruitingNCT07127939
Diagnostic Performance of an AI-based Model for TCM Constitution Classification Using Ophthalmic Imaging
Diagnostic Performance of an Artificial Intelligence Driven Model for Traditional Chinese Medicine Constitution Classification Using Ophthalmic Imaging
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,024 (estimated)
- Sponsor
- Second Affiliated Hospital of Nanchang University · Academic / Other
- Sex
- All
- Age
- 18 Years – 45 Years
- Healthy volunteers
- Accepted
Summary
To evaluate the diagnostic performance of a multimodal deep learning model for identifying biased Traditional Chinese Medicine (TCM) constitutions using ophthalmic imaging
Detailed description
The identification of Traditional Chinese Medicine (TCM) constitutions is a central principle of its preventive medicine philosophy (Zhi Wei Bing). Yet, current diagnostic methods-relying on subjective questionnaires and expert interpretation-are not scalable, objective, or efficient enough for widespread clinical use. While artificial intelligence has been applied to traditional inputs like tongue and pulse analysis, these approaches have failed to overcome fundamental issues of data standardization and objectivity. Consequently, a critical gap exists: there is no modern, reliable, and scalable tool to assess TCM constitutions, preventing the full integration of this valuable theory into contemporary healthcare. This study aims to bridge that gap by developing and validating a novel deep learning model for "intelligent ocular diagnosis" of TCM constitutions. By using highly objective and information-rich ophthalmic imaging, our approach circumvents the subjectivity inherent in traditional methods. The primary objective is to create a fully automated, high-throughput system capable of accurately classifying TCM constitutions. The successful completion of this project will not only provide the first objective tool for TCM constitution analysis but will also establish a powerful framework for the early prediction and personalized management of chronic diseases, creating a new paradigm for integrated Chinese and Western medicine.
Conditions
- Ophthalmic Imaging
- Deep Learning
- Artificial Intelligence (AI)
- Traditional Chinese Medicine Constitution
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | AI-based Ocular Diagnosis Model for TCM Constitutions | AI-based Ocular Diagnosis Model for Identifying Traditional Chinese Medicine (TCM) Constitutions |
Timeline
- Start date
- 2025-07-01
- Primary completion
- 2028-12-31
- Completion
- 2028-12-31
- First posted
- 2025-08-17
- Last updated
- 2025-08-17
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT07127939. Inclusion in this directory is not an endorsement.