To evaluate the diagnostic performance of a multimodal deep learning model for identifying biased Traditional Chinese Medicine (TCM) constitutions using ophthalmic imaging
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.
Study Type
OBSERVATIONAL
Enrollment
1,024
AI-based Ocular Diagnosis Model for Identifying Traditional Chinese Medicine (TCM) Constitutions
The Second Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China
RECRUITINGAUROC of AI-based model in identifying TCM Constitutions
The area under the receiver operating characteristic of AI-based model in identifying Traditional Chinese Medicine constitutions
Time frame: Day 0
Sensitivity and specificity of AI-based model in identifying TCM Constitutions
Sensitivity and specificity of AI-based model in identifying Traditional Chinese Medicine constitutions
Time frame: Day 0
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