Open Access CRIS of the University of Bern
Interpretable Machine Learning for Course Prediction in Central Serous Chorioretinopathy Using Baseline OCT from a Multicenter Cohort
By Lorenzo Ferro Desideri, Nina Eldridge, Lieselotte Berger and 20 others.
Abstract
Purpose
To predict disease clinical course in central serous chorioretinopathy (CSC) using an interpretable machine learning model applied to baseline artificial intelligence (AI)-derived optical coherence tomography (OCT) biomarkers acquired at first presentation.
Design
Multicenter, retrospective cohort study.
