# Detecting Eye Diseases Via Hybrid Deep Learning Algorithms From Fundus Images

> **NCT06213896** · — · COMPLETED · sponsor: **Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi** · enrollment: 1528 (actual)

## Conditions studied

- Glaucoma
- Age-Related Macular Degeneration
- Retinal Vein Occlusion
- Diabetic Retinopathy
- Diabetic Macular Edema
- Eye Diseases

## Interventions

- **DRUG:** Mydriatic Agent
- **PROCEDURE:** Color Fundus Photography
- **DEVICE:** EyeCheckup v2.0

## Key facts

- **NCT ID:** NCT06213896
- **Lead sponsor:** Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
- **Sponsor class:** INDUSTRY
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2023-03-01
- **Primary completion:** 2024-04-18
- **Final completion:** 2024-04-18
- **Target enrollment:** 1528 (ACTUAL)
- **Last updated:** 2024-05-14


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06213896

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06213896, "Detecting Eye Diseases Via Hybrid Deep Learning Algorithms From Fundus Images". Retrieved via AI Analytics 2026-06-04 from https://api.ai-analytics.org/clinical/NCT06213896. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*