UnknownNot Applicable

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

Switzerland4,800 participantsStarted 2021-05-11

Plain-language summary

Monocentric clinical study to develop an imaging analysis algorithm for the Eyestar 900 to identify keratoconus corneas and improve biometry for intraocular lens calculations

Who can participate

SexALL

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Inclusion criteria

✓. Patients with all stages of keratoconus
✓. Patients with healthy corneas

Exclusion criteria

✕. Keratoconus patients with hydrops, status following hydrops
✕. Patients with degenerative corneal diseases
✕. Patients after corneal surgery

What they're measuring

Keratoconus identification

Timeframe: 2.5 years

Trial details

NCT IDNCT04763785

SponsorInsel Gruppe AG, University Hospital Bern

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2023-06-01

View on ClinicalTrials.gov More Keratoconus trials