# E-CLAIR: Efficiency and Cost-effectiveness of Artificial Intelligence Based Diabetic Retinopathy Screening in Flanders

> **NCT05391659** · NA · UNKNOWN · sponsor: **Universitaire Ziekenhuizen KU Leuven** · enrollment: 1200 (estimated)

## Conditions studied

- Diabetic Retinopathy

## Interventions

- **DEVICE:** deep learning
- **DIAGNOSTIC_TEST:** remote grading of fundus images
- **DIAGNOSTIC_TEST:** gold standard

## Key facts

- **NCT ID:** NCT05391659
- **Lead sponsor:** Universitaire Ziekenhuizen KU Leuven
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** UNKNOWN
- **Start date:** 2021-06-17
- **Primary completion:** 2022-11-01
- **Final completion:** 2022-12-01
- **Target enrollment:** 1200 (ESTIMATED)
- **Last updated:** 2022-05-26


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05391659

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05391659, "E-CLAIR: Efficiency and Cost-effectiveness of Artificial Intelligence Based Diabetic Retinopathy Screening in Flanders". Retrieved via AI Analytics 2026-07-12 from https://api.ai-analytics.org/clinical/NCT05391659. Licensed CC0.

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