Clinical trials: Keratoconus, Artificial Intelligence, Support Vector Machine
Keratoconus, Keratoconus, Artificial Intelligence, Support Vector Machine
Predicting Manifest Astigmatism in Keratoconus Patients.
The cornea of the human eye has several functions. It is transparent to allow light into the eye and its shape focuses the incoming light onto the retina.
- Trial name
- NCT06798779
- Testing
- Glasses, Corneal topography
- Where
- United Kingdom
- Volunteers
- 800 people
- Sponsor
- Royal Devon and Exeter NHS Foundation Trust
Keratoconus, Artificial Intelligence, Support Vector Machine
Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy
The objective of this study was to identify and build an algorithm through an imaging process using a support vector machine (SVM) with the tomography variables of cases with, KC, highly susceptible corneas to ectasia (HSCE), and…
- Trial name
- NCT04313387
- Testing
- Corneal tomography multivariate index derived from a support vector machine (CTMVI).
- Volunteers
- 588 people
- Sponsor
- Gildasio Castello de Almeida Junior