Rev Bras Oftalmol.2024;83:e0006
Diagnosis of diabetic retinopathy by artificial intelligence using smartphone
DOI: 10.37039/1982.8551.20240006
ABSTRACT
Introduction:
To obtain fundoscopy images through portable and low-cost equipment using artificial intelligence to assess the presence of DR.
Methods:
Fundus images of diabetic patients’ eyes were obtained by using a smartphone coupled to a device with a 20D lens. By using artificial intelligence (AI), the presence of DR was classified by a binary algorithm.
Results:
97 ocular fundoscopy images were evaluated (45 normal and 52 with DR). Through AI diagnostic accuracy around was 70% to 100% in the classification of the presence of DR.
Conclusion:
The approach using a low-cost portable device showed satisfactory efficacy in the screening of diabetic patients with or without diabetic retinopathy, being useful for places without infrastructure conditions.
