Images obtained using a non-mydriatic fundus camera are transferred to the cloud for processing to the hybrid artificial intelligence algorithm. Pathological images are automatically recognized, classified, and marked anomalies by the artificial intelligence algorithm.

By using the hybrid Deep Learning Algorithm, processing and analyzing retinal fundus images, whether there is an anomaly or not can be done quickly and with high precision without the need for specialist physician intervention. Thus, before the symptoms of the disease appear, early diagnosis can be made for treatment, and vision loss can be slowed or stopped by starting treatment.

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