The role of Artificial Intelligence in the automated screening of diabetic retinopathy
DOI:
https://doi.org/10.25758/set.916Keywords:
Artificial Intelligence, Diabetic retinopathy, Automated screeningAbstract
Diabetic retinopathy (DR) is a serious microvascular complication of diabetes mellitus and a leading cause of preventable blindness in adults. This study analyzes the impact of Artificial Intelligence (AI) on automated DR screening, highlighting its ability to improve the accuracy and efficiency of screenings. AI enables early detection of the disease, reducing reliance on specialists and increasing access to care in resource-limited regions. The technologies discussed include advanced deep learning algorithms and explainability techniques, which help interpret clinical results. Despite advances, barriers such as a lack of data standardization, ethical issues, and limitations in generalizing AI frameworks need to be overcome. The study concludes that AI represents a promising tool in the management of DR, with the potential to transform disease identification and prevent serious visual complications in different socioeconomic contexts.
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