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Application of artificial intelligence based fundus photography combined with OCT diagnostic technique in screening diabetic retinopathy in the community

Application of artificial intelligence based fundus photography combined with OCT diagnostic technique in screening diabetic retinopathy in the community

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900024528
Enrollment
Unknown
Registered
2019-07-14
Start date
2019-08-01
Completion date
Unknown
Last updated
2019-07-15

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:Ophthalmologist manual diagnosis
Index test:Artificial&#32
intelligence&#32
diagnosis

Sponsors

Shanghai Shibei Hospital of Jing'an District
Lead Sponsor

Eligibility

Sex/Gender
All
Age
19 Years to 100 Years

Inclusion criteria

Inclusion criteria: (1) Diabetic patients in community endocrinology outpatient; (2) Dioptric media is transparent and can take fundus and OCT images; (3) Patients who have signed inform consent form and willing to participate in the study.

Exclusion criteria

Exclusion criteria: (1) Unable to cooperate the examination due to derious physical or other diseases; (2) Dioptric media turbid, Such as corneal ulcer, leucoma, severe cataract, vitreous hemorrhage or massive exudation; (3) Poor quality of image collection.

Design outcomes

Primary

MeasureTime frame
sensitivity, specificity, AUC of ROC;—

Countries

China

Contacts

Public ContactJili Chen

Shanghai Shibei Hospital of Jing'an District

corneachen@163.com+86 13651693717

Outcome results

None listed

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