Artificial-Intelligence-based Early Detection of Diabetic Retinopathy (FUNDUS AI)

Enrolling by invitation

Conditions studied: Diabetes (DM), Prediabetes

In brief

Examination of individuals with prediabetes and established diabetes for early signs of diabetic retinopathy.

Key facts

Study ID

NCT07378891

Run by

University Hospital Tuebingen

People needed

100

Starts

2025-12-01

Expected to finish

2028-12-15

Last updated by the study team

2026-02-10

Who can join

Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Voluntary adults
• Aged between 18 and 80 years
• Understanding of the study explanations and instructions
• Prediabetes (defined by elevated fasting glucose 100-125 mg/dL and/or 2-hour glucose in the oral glucose tolerance test of 140-199 mg/dL and/or HbA1c of 5.7-6.4%)
• manifest diabetes (all types of diabetes according to Ahlqvist)

You may not qualify if…

• participants unable to give consent
• Those who do not agree to be informed about incidentally detected pathological findings
• Uncontrolled arterial hypertension (Stage III) despite multiple antihypertensive medications
• Eye diseases that impair the interpretability of the fundus examination

Where it is running

• University Hospital Tuebingen, Dep. Diabetology — Tübingen, Germany

Full record on ClinicalTrials.gov

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