Detection of Keratoconus Progression Using Machine Learning

Active, not recruitingOBSERVATIONAL
Enrollment

200

Participants

Timeline

Start Date

December 2, 2024

Primary Completion Date

May 31, 2025

Study Completion Date

May 31, 2025

Conditions
KeratoconusMachine Learning
Interventions
DIAGNOSTIC_TEST

MS-39

The MS-39 (Costruzione Strumenti Oftalmici, Firenze, Italy) is a device for anterior segment analysis of the eye, which combines Placido disc corneal topography and high-resolution SD-OCT. The device provides information on pachymetry, elevation, curvature, and dioptric power of both corneal surfaces. To obtain corneal topography, 22 Placido disc rings are emanated from a laser emitted diode (LED) light source at 635 nanometres (nm). The central 10 millimetres of the anterior corneal surface are covered. Epithelial thickness maps are calculated for different sectors (central, paracentral inferior/superior/nasal/temporal).

Trial Locations (1)

1140

Vienna Institute for Research in Ocular Surgery (VIROS), Vienna

All Listed Sponsors
lead

Vienna Institute for Research in Ocular Surgery

OTHER

NCT06873399 - Detection of Keratoconus Progression Using Machine Learning | Biotech Hunter | Biotech Hunter