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Artificial intelligence to spot early diabetic eye damage in people with prediabetes or diabetes

Examines adults with prediabetes or diabetes for early signs of diabetic retinopathy.

Plain-language title generated from the registry record
Registry title: Artificial-Intelligence-based Early Detection of Diabetic Retinopathy (FUNDUS AI)

Key facts

Where
Tübingen, GermanySee the site

Could this be for you?

Answer for yourself. This is not a decision: only the study team can say whether you can take part.

  • Are you between 18 and 80 years old?

Source: NCT07378891, who can take part

Where in Germany

  • University Hospital Tuebingen, Dep. DiabetologyTübingen, GermanyNo longer taking part

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?
Print a page for my doctor

Trial details

Who runs it
University Hospital Tuebingen
Trial code
NCT07378891
Record updated
10 February 2026
Original description
Examination of individuals with prediabetes and established diabetes for early signs of diabetic retinopathy.Read full original descriptionShow less

Künstliche Intelligenz (KI)-gestützte Früherkennung Der Diabetischen Retinopathie (FUNDUS-KI)

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

Inclusion: 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).

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

ClinicalTrials.gov NCT07378891