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The artificial intelligence supported system in the diagnosis and risk prediction of metabolic disorders based on multimodal data

The artificial intelligence supported system in the diagnosis and risk prediction of metabolic disorders based on multimodal data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300069400
Enrollment
Unknown
Registered
2023-03-15
Start date
2022-03-20
Completion date
Unknown
Last updated
2025-10-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes and microvascular complications, hypertension and target organ damage, metabolic associated fatty liver disease, coronary artery disease, cerebrovascular disease, chronic kidney disease

Interventions

Gold Standard:Metabolic disorders, including diabetes, hypertension and dyslipidemia, etc. are diagnosed base on medical history and relevant examinations, according to relevant recognized internation
Index test:Disease identification and prediction results from deep learning systems.

Sponsors

Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
11 Years to 94 Years

Inclusion criteria

Inclusion criteria: 1. Subjects that had integrated records of demographic information, anthropometric indices, medical history, relevant biochemical measurements, and complication screening; 2. Subjects that had two-filed 45° color fundus photography with both eyes (optic disc centered and macula centered).

Exclusion criteria

Exclusion criteria: Poor image quality of fundus photography.

Design outcomes

Primary

MeasureTime frame
Diabetes;

Secondary

MeasureTime frame
Prediabetes;Diabetic retinopathy;Diabetic kidney disease;Hypertension;Hypertension-mediated organ damage;Dyslipidemia;Metabolic associated fatty liver disease;Coronary artery disease;Cerebrovascular disease;Chronic kidney disease;Cardiovascular disease;

Countries

China

Contacts

Public ContactWeiping Jia

Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

wpjia@sjtu.edu.cn+86 13916502465

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026