AI-based retinopathy screening for children with type 1 diabetes

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This interventional study investigates the feasibility and accuracy of an artificial intelligence–driven tool to screen for diabetic retinopathy in children with type 1 diabetes. Participants undergo non-mydriatic fundus photography analyzed by AI, followed by traditional assessments such as dilated fundus examination and optical coherence tomography to compare methods. The project also applies retinal confocal microscopy to explore early signs of diabetic neuropathy and aims to determine the prevalence of retinopathy and neuropathy in a well-controlled pediatric cohort at a tertiary diabetes center. Outcomes will inform whether AI-assisted screening can complement or substitute standard retina assessments in pediatric diabetes care.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Type 1 diabetes diagnosed according to the ADA criteria
* Age over 11.0 years or duration of diabetes over 2 years
* Signed written informed consent by both the CwD and their parent/caregiver

Exclusion Criteria:

* Unwillingness to sign a written informed consent by both the CwD and their parent/caregiver

Where it's running

• University Hospital Motol
  Prague, Prague 5, Czechia Recruiting

Study contacts

• Study coordinator: Vit Neuman, MD, PhD
• Email: Vit.Neuman@fnmotol.cz
• Phone: +420 224 432 090

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• VV-14300: a gene therapy approach for adults with type 1 diabetes not well controlled on an automated insulin system

  This trial tests VV-14300 in adults with type 1 diabetes who aren’t reaching their blood sugar goals despite using an automated insulin delivery system.

  Recruiting Phase 1/2 Kriya Therapeutics, Inc. · Toronto and 1 other locations · NCT07831798

• New gene therapies VV-14299 and VV-14300 for adults with Type 1 Diabetes failing automated insulin delivery

  This study tests VV-14299 and VV-14300, or VV-14300 alone, in adults with long-standing Type 1 Diabetes whose blood sugar remains poorly controlled despite using an automated insulin delivery system.

  Recruiting Phase 1/2 Kriya Therapeutics, Inc. · Melbourne · NCT07829302

• Oral verapamil in newly diagnosed children and teens with type 1 diabetes

  This study tests whether taking verapamil by mouth can help preserve pancreatic beta cells and reduce insulin needs in kids and teens with recently diagnosed type 1 diabetes.

  Recruiting Phase 2/3 Ain Shams University · Cairo · NCT07804849

• Preventing device-related skin rashes in kids with type 1 diabetes using hydrocolloid vs silicone patches

  This study tests whether silicone-based or hydrocolloid patches help prevent recurring skin irritation from insulin pumps or CGMs in children and teens with type 1 diabetes.

  Recruiting Steno Diabetes Center Copenhagen · Copenhagen · NCT07767461

• AI-assisted remote insulin pump optimization for people with type 1 diabetes

  This study tests an AI-powered tool that suggests insulin pump settings for people with type 1 diabetes, with doctor-approved recommendations delivered to a mobile app.

  Recruiting The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School · Nanjing, Jiangsu · NCT07732777

• Near-sensor insulin delivery with CGM in people with type 1 diabetes

  A small early-feasibility study tests a dual-port insulin patch pump that includes a CGM sensor to see if delivering insulin near the sensor affects glucose readings and whether an automated control algorithm can manage glucose.

  Recruiting Early Phase 1 ClinSurge Research · Toronto, Ontario · NCT07655076

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.