Carlos Méndez Mangana, Anton Barraquer, Álvaro Ferragut-Alegre, Gil Santolaria, Maximiliano Olivera, Rafael Barraquer
PURPOSE: Detection of graft failure of post-penetrating keratoplasty (PKP) patients from the proprietary dataset using algorithms trained in Automated Deep Learning (AutoML). METHODS: This was an observational cross-sectional study, for which AutoML algorithms were trained following the success/failure labeling strategy based on clinical notes, on a cohort corresponding to 220 images of post-keratoplasty anterior pole eyes. Once the image quality criteria were analyzed and the dataset was pseudo-anonymized, it was transferred to the Google Cloud Platform, where using the Vertex AI-AutoML API, cloud- and edge-based algorithms were trained, following expert recommendations on dataset splitting (80% training, 10% test, and 10% validation)...
2023: Saudi Journal of Ophthalmology: Official Journal of the Saudi Ophthalmological Society