Examination of individuals with prediabetes and established diabetes for early signs of diabetic retinopathy.
Fundus images are acquired and analyzed using an AI algorithm. The fundus images are captured using two devices: a stationary fundus camera (CenterVue DRSplus) and the Optomed Aurora IQ handheld fundus camera. Retinal images are examined using AI-based image analysis.
Study Type
OBSERVATIONAL
Enrollment
100
University Hospital Tuebingen, Dep. Diabetology
Tübingen, Germany
Assessment of retinal changes
Assessment of retinal changes in individuals with prediabetes and diabetes, quantified using an AI algorithm.
Time frame: Day 1
Image quality and comparison of the fundus cameras
The automatically assessed image quality and the comparison of stationary and mobile fundus cameras
Time frame: Day 1
Influence of clinical parameters on retinal vascular changes
Influence of clinical parameters such as anthropometric measurements (WHR, blood pressure, BMI) and laboratory parameters of glucose and lipid metabolism on retinal vascular changes
Time frame: Day 1
Association of medications with the ocular fundus
Association of antidiabetic and lipid-lowering medications with the ocular fundus
Time frame: Day 1
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