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
Par Lorenzo Ferro Desideri, Nina Eldridge, Lieselotte Berger et 20 autres.
Contenu en anglais
Résumé
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.