Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population

Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population

In healthcare systems in general, access to diabetic retinopathy (DR) screening is limited. Artificial intelligence has the potential to increase care delivery. Therefore, we trained and evaluated the diagnostic accuracy of a machine learning algorithm for automated detection of DR. Methods We i...

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Bibliographic Details
Main Authors: dos Reis, Mateus A., Künas, Cristiano A., da Silva Araújo, Thiago, Schneiders, Josiane, de Azevedo, Pietro B., Nakayama, Luis F., Rados, Dimitris R. V., Umpierre, Roberto N., Berwanger, Otávio, Lavinsky, Daniel, Malerbi, Fernando K., Navaux, Philippe O. A., Schaan, Beatriz D.
Other Authors: Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
Format: Article
Language:English
Published: BioMed Central 2024
Online Access:https://hdl.handle.net/1721.1/156538

Internet

https://hdl.handle.net/1721.1/156538

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