Abstract: An artificial intelligence (AI) system is disclosed that uses machine learning to classify retinal features contained in OCTA data acquired by a data acquisition system and to predict one or more retinopathies based on the classification of retinal features. The AI system comprise a processor configured to run a classifier model comprising a machine learning algorithm and a memory device that stores the classifier model, OCTA training data and acquired OCT A data. The machine learning algorithm performs a process that trains the classifier model to classify retinal features contained in OCT A training data. The trained machine learning algorithm uses the classifier model to process acquired OCT A data to classify retinal features contained in the acquired OCTA data and to predict, based on the classified retinal features, whether the acquired OCTA data is indicative of at least one of a plurality of retinopathies.

Abstract: An artificial intelligence (AI) system is disclosed that uses machine learning to classify retinal features contained in OCTA data acquired by a data acquisition system and to predict one or more retinopathies based on the classification of retinal features. The AI system comprise a processor configured to run a classifier model comprising a machine learning algorithm and a memory device that stores the classifier model, OCTA training data and acquired OCT A data. The machine learning algorithm performs a process that trains the classifier model to classify retinal features contained in OCT A training data.