# Development of a Keratoconus Detection Algorithm by Deep Learning Analysis and Its Validation on Eyestar Images

> **NCT04763785** · — · UNKNOWN · sponsor: **Insel Gruppe AG, University Hospital Bern** · enrollment: 4800 (estimated)

## Conditions studied

- Keratoconus
- Eye Diseases
- Cataract
- Corneal Ectasia

## Interventions

- **DEVICE:** Corneal tomography with Eyestar 900
- **DEVICE:** Corneal tomography with Pentacam
- **DEVICE:** Biometry with IOL-Master
- **OTHER:** retrospective analysis, no intervention

## Key facts

- **NCT ID:** NCT04763785
- **Lead sponsor:** Insel Gruppe AG, University Hospital Bern
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2021-05-11
- **Primary completion:** 2023-06-01
- **Final completion:** 2023-12-01
- **Target enrollment:** 4800 (ESTIMATED)
- **Last updated:** 2021-09-30


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT04763785

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT04763785, "Development of a Keratoconus Detection Algorithm by Deep Learning Analysis and Its Validation on Eyestar Images". Retrieved via AI Analytics 2026-06-03 from https://api.ai-analytics.org/clinical/NCT04763785. Licensed CC0.

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