Sistema para pré-diagnóstico e acompanhamento da evolução da perda de transparência do cristalino (catarata)

Abstract

This work presents a system for pre-diagnosis and monitoring of the loss of transparency in the crystalline lens (the eye’s natural lens), a condition that can lead to senile cataracts. The system aims to use Android devices to capture ocular images, applying artificial intelligence algorithms to process and compare images over time. With the ability to provide a pre-diagnosis and perform monitoring, the system facilitates early detection and tracking of the condition, offering a supportive tool in the fight against cataracts. Based on the results obtained in the study, it was observed that the pre-diagnosis and monitoring system for crystalline lens transparency loss (cataracts) proved to be an effective solution for detecting and tracking the disease. The use of Android device cameras, combined with AI-based classification and the ability to upload previously captured images, provided speed and convenience to the user, enabling a preliminary analysis that aids in the decision to seek or not seek a specialist. Furthermore, the presentation of results and monitoring through a user-accessible history facilitate personal tracking of ocular conditions. This functionality simplifies cataract detection in people’s daily lives and may encourage them to consult an ophthalmologist even in the early stages of the disease.