Pediatric Artificial Intelligence for Retinopathy Screening in Children With Type 1 Diabetes

Recruiting now · Not applicable

Conditions studied: Type 1 Diabetes Mellitus

In brief

The proposed project is a clinical intervention trial testing the feasibility and effectiveness of diabetic retinopathy screening evaluated by artificial intelligence (AI) based software in children with type 1 diabetes (CwD). Another novel method, the confocal microscopy of the retina will be used to assess the early stages of diabetic neuropathy. In parallel, we aim to assess the prevalence of diabetic retinopathy and neuropathy in a well-controlled population of CwD at a tertiary diabetes care center. Each participant will undergo an examination of diabetic retinopathy using the non-mydriatic fundus camera. The resulting photography will be evaluated by AI driven software. The participant will then follow this examinaton with fundus ophtalmoscopy in arteficial mydriasis as a standard method of diabetic retinopathy assessment. Another method, the optic coherence tomography (OCT), which is considered as the most sensitive method for diabetic retinopathy assessment, will be performed after that. The results of these methods will be compared to assess the sensitivity of each. The examination-satisfaction questionnaire will be given to the participants. In subjects over 18 years, a confocal microscopy of the retina examination will be performed to assess the status of the corneal sub-basal nerve plexus and the presence of diabetic neuropathy will be noted. The prevalence of diabetic retinopathy and neuropathy in this group of children with diabetes will be assessed based on the results.

Key facts

Study ID
NCT07149142
Run by
University Hospital, Motol
People needed
400
Starts
2026-07-01
Expected to finish
2029-12-31
Last updated by the study team
2026-07-20

Who can join

Age: 11 and older, up to 19. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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