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

NCT07127939 | Recruiting

• 1 other identifier: [2025] NO.(85)
• Study Type: observational
• Target: 1,024
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

Ophthalmic Imaging; Deep Learning; Artificial Intelligence; Traditional Chinese medicine constitution

Outcome Measures

Primary Outcomes (1)

• AUROC 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

  Day 0

Secondary Outcomes (1)

• Sensitivity and specificity of AI-based model in identifying TCM Constitutions

  Day 0

Study Arms (2)

Patients with Chronic Systemic Diseases

This cohort consists of participants with a confirmed diagnosis of one or more chronic systemic diseases. These include cardiovascular diseases, malignant tumors, diabetes mellitus, and chronic respiratory diseases, as defined by the study's inclusion criteria.

Diagnostic Test: AI-based Ocular Diagnosis Model for TCM Constitutions

Healthy Control Group

This cohort consists of volunteers with no history of major chronic systemic diseases. Participants are confirmed to have no conditions requiring continuous medical intervention or causing limitation of daily activities, serving as the control group for this study.

Diagnostic Test: AI-based Ocular Diagnosis Model for TCM Constitutions

Interventions

AI-based Ocular Diagnosis Model for TCM Constitutions DIAGNOSTIC_TEST

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

Healthy Control Group; Patients with Chronic Systemic Diseases

Eligibility Criteria

• Age: 18 Years - 45 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

Chronic systemic disease patients and healthy subjects from the Second Affiliated Hospital of Nanchang University.

You may qualify if:

• Age: Participants aged between 18 and 60 years;
• Chronic Systemic Diseases: Defined according to the standards of the United States National Center for Chronic Disease Prevention and Health Promotion and the "Healthy China 2030" planning outline issued by the State Council. These are characterized as conditions lasting one year or longer that require continuous medical care, limit daily activities, or both. The four major chronic diseases in China include:Cardiovascular and cerebrovascular diseases,Malignant neoplasms,Diabetes mellitus and Chronic respiratory diseases;
• Cardiovascular and Cerebrovascular Diseases: This category includes:Hypertension: Stable hypertension without acute episodes, defined as systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or currently undergoing antihypertensive treatment.Coronary Heart Disease: Diagnosed based on a history of coronary heart disease or confirmed through imaging evidence such as coronary angiography or CT angiography.
• Heart Failure: Classified as New York Heart Association (NYHA) functional class II-IV with a left ventricular ejection fraction \<40%.Stroke: Diagnosed based on a history of ischemic or hemorrhagic stroke or confirmed through imaging evidence such as MRI or CT scans;
• Malignant Neoplasms: Participants with newly diagnosed, recurrent, metastatic malignant tumors, or those currently receiving specific treatments (e.g., chemotherapy, radiotherapy, immunotherapy), confirmed by histological or cytological examinations;
• Diabetes Mellitus: Participants meeting at least one of the following criteria:
• Fasting blood glucose ≥7.0 mmol/L (126 mg/dL),2-hour post-oral glucose tolerance test blood glucose ≥11.1 mmol/L (200 mg/dL),Hemoglobin A1c ≥6.5%,Random blood glucose ≥11.1 mmol/L (200 mg/dL) accompanied by typical symptoms (e.g., polydipsia, polyuria, weight loss);
• Chronic Respiratory Diseases: This category includes:Chronic Obstructive Pulmonary Disease (COPD): Post-bronchodilator FEV₁/FVC \<0.70 and FEV₁ \<80% of the predicted value, accompanied by at least one clinical symptom such as chronic cough, sputum production, or dyspnea.Asthma: Reversible airflow limitation, defined as a post-bronchodilator FEV₁ increase of ≥12% and ≥200 ml, accompanied by at least one clinical symptom such as recurrent wheezing, dyspnea, chest tightness, or cough;
• Healthy Subjects: Individuals who have not experienced any systemic diseases within the past year that require continuous medical care, limit daily activities, or both;
• Clear Diagnosis Based on Traditional Chinese Medicine and Western Medicine: Participants must have a definitive diagnosis established through both Traditional Chinese Medicine and Western Medicine methodologies;
• Absence of Other Ocular or Systemic Organic Diseases: Participants should have no other ocular diseases and/or systemic organic lesions that significantly affect the acquisition of ocular imaging.

You may not qualify if:

• Incomplete Clinical Data Supporting Diagnosis: Participants for whom the clinical data necessary to substantiate the diagnosis are incomplete;
• Significant Opacification of Other Ocular Optical Systems: Individuals presenting with pronounced obscurations in other ocular optical systems (e.g., severe corneal opacification, nuclear cataract grade IV or higher, severe vitreous hemorrhage or opacification) that impede the completion of comprehensive ocular examinations;
• Acute Systemic Organic Diseases: Patients concurrently suffering from acute systemic organic conditions (such as acute infections or decompensated organ failure) that prevent participation in the constitution identification procedures;
• Pregnancy or Lactation: Individuals who are pregnant or currently breastfeeding.

Sponsors & Collaborators

• Second Affiliated Hospital of Nanchang University: lead

Study Sites (1)

The Second Affiliated Hospital of Nanchang University

Nanchang, Jiangxi, 330000, China

RECRUITING

Central Study Contacts

Jiang Xiong

CONTACT

+8618170906556; 894040417@qq.com

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate research fellow; Attending physician

Study Record Dates

• First Submitted: August 11, 2025
• First Posted: August 17, 2025
• Study Start: July 1, 2025
• Primary Completion (Estimated): December 31, 2028
• Study Completion (Estimated): December 31, 2028
• Last Updated: August 17, 2025

Record last verified: 2025-07

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)