Skip to content

Screening model of diabetic retinopathy based on artificial intelligence diagnosis system

Screening model of diabetic retinopathy based on artificial intelligence diagnosis system

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000032833
Enrollment
Unknown
Registered
2020-05-12
Start date
2020-06-01
Completion date
Unknown
Last updated
2020-05-18

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

Conditions

Diabetic retinopathy

Interventions

Gold Standard:The diagnostic result of three ophthalmologists with more than 10 years of experience based on 7SF photography, and the diagnostic results confirmed by at least 2 ophthalmologists.
Index test:Artificial&#32
intelligence&#32

Sponsors

Hospital Affiliated to Changzhi Medical College
Lead Sponsor

Eligibility

Sex/Gender
All
Age
19 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Subjects who understand the clinical trial and participate in it voluntarily, and are willing to sign the informed consent form; 2. Patients with aged >= 18 at the time of enrollment, regardless of gender; 3. Type 1 diabetes and type 2 diabetes.

Exclusion criteria

Exclusion criteria: 1. Patients who are unable to cooperate with the examination due to serious / other diseases. 2. Patients with turbid refractive media (such as corneal ulcer, corneal leukoplakia, severe cataract, vitreous hemorrhage or massive exudation). 3. The quality of image acquisition is poor.

Design outcomes

Primary

MeasureTime frame
sensitivity, specificity, AUC of ROC;

Countries

China

Contacts

Public ContactShaofeng Hao

Heji Hospital Affiliated to Changzhi Medical College

jktrain@163.com+86 15234536999

Outcome results

None listed

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