Desarrollar una herramienta para la identificación de Cataratas Oculares haciendo uso de técnicas de Inteligencia Artificial (Deep Learning – Machine Learning).

Abstract

To develop a tool for the identification of ocular cataracts, in order to provide the most vulnerable populations with a prediction and in a timely manner so that physicians can treat cases with a high risk of developing cataracts. Blindness problems constitute an emerging pathology within the internist's activities. Ocular ultrasound is a widely used technique to diagnose or evaluate different ocular conditions, in particular, the Doppler ultrasound study of the ophthalmic vessels has become a very useful tool in the prediction of ocular diseases. This tool allows to predict and identify if the patient has a diagnosis of cataract, the images are taken by cameras of different brands which could improve the data and perform the previous training to have a mathematical model which allows us to classify and predict if there is a pathology related to the cataract, this was implemented as a web application which allows it to be used from any computer where internet is available for operation.