Automated diagnosis of diabetic retinopathy using AI

Automated diagnosis of diabetic retinopathy using AI - Retinopathy

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00035967

Enrollment

1335

Registered

2025-01-23

Start date

2024-07-22

Completion date

Unknown

Last updated

2026-03-02

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

Conditions

H36.0

Interventions

Group 1: Patients with diabetes mellitus type 1, diabetes mellitus type 2 and pancreoprive diabetes who are treated at the Karlsburg Clinic during the observation period from July 2024 to June 2025 an

Eligibility

Sex/Gender

All

Age

7 Years to No maximum

Inclusion criteria

Inclusion criteria: diabetes mellitus

Exclusion criteria

Exclusion criteria: Age < 7 years, incapacitated and other vulnerable patient groups, lack of patient consent

Design outcomes

Primary

Measure	Time frame
Ophthalmological examination with fundus photography and subsequent assessment using AI and funduscopy with ophthalmological assessment (gold standard), subsequent comparison between the two examinations to determine the sensitivity and specificity of AI compared to the gold standard	—

Secondary

Measure	Time frame
not determined	—

Countries

Germany

Contacts

Public ContactAndreas Stahl

Universitätsmedizin Greifswald Klinik und Poliklinik für Augenheilkunde

andreas.stahl@med.uni-greifswald.de+49 3834 865900

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Mar 14, 2026