Luis Filipe Nakayama

2 months ago | nature.com | David Restrepo |Luis Filipe Nakayama

AbstractThis paper introduces mBRSET, the first publicly available diabetic retinopathy retina dataset captured using handheld retinal cameras in real-life, high-burden scenarios, comprising 5,164 images from 1,291 patients of diverse backgrounds. This dataset addresses the lack of ophthalmological data in low- and middle-income countries (LMICs) by providing a cost-effective and accessible solution for ocular screening and management.

Jul 12, 2024 | medrxiv.org | Chenwei Wu |David Restrepo |Luis Filipe Nakayama |Lucas Ribeiro

The authors have declared no competing interest. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Jul 11, 2024 | journals.plos.org | Luis Filipe Nakayama |Sao Paulo Federal |David Restrepo

Loading metrics Open Access Peer-reviewedResearch Article Citation: Nakayama LF, Restrepo D, Matos J, Ribeiro LZ, Malerbi FK, Celi LA, et al. (2024) BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos. PLOS Digit Health 3(7): e0000454.

Apr 10, 2023 | journals.plos.org | Jack Gallifant |Luis Filipe Nakayama |Sao Paulo Federal

Loading metrics AbstractThe ability of artificial intelligence to perpetuate bias at scale is increasingly recognized. Recently, proposals for implementing regulation that safeguards such discrimination have come under pressure due to the potential of such restrictions stifling innovation within the field. In this formal comment, we highlight the potential dangers of such views and explore key examples that define this relationship between health equity and innovation.