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Arq. Bras. Oftalmol. 2026; 89 (1): 10.5935/0004-2749.2025-0025

Total: 576

Impact of mydriasis on image gradability and automated diabetic retinopathy screening with a handheld camera. A real-world setting evaluation

Iago Diógenes Azevedo Costa1; David Restrepo2,3; Lucas Zago Ribeiro1; Andre Kenzo Aragaki1; Fernando Korn Malerbi1; Caio Saito Regatieri1; Luis Filipe Nakayama1,3

DOI: 10.5935/0004-2749.2025-0025

1. Ophthalmology Department, Escola Paulista de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
2. Laboratory of Mathematics and Computer Science, Centrale Supélec, Paris-Saclay University, Gif-sur-Yvette, France
3. Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA

Corresponding author

Luis Filipe Nakayama
Email: [email protected]

Funding: This study received no specific financial support.

Disclosure of potential conflicts of interest: The authors declare no potential conflicts of interest.


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How to cite this article:

Costa IDA, Restrepo2 D, 3 , Ribeiro LZ, Aragaki AK, Malerbi FK, et al. Impact of mydriasis on image gradability and automated diabetic retinopathy screening with a handheld camera. A real-world setting evaluation. Arq. Bras. Oftalmol. 2026;89(1):. 10.5935/0004-2749.2025-0025
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