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Validation of the Eyerobo FC Portable Fundus Camera for Diabetic Retinopathy Screening Using Public Datasets and Deep Learning

Abstract Introduction To validate the diagnostic performance of the Eyerobo FC, a new portable non-mydriatic fundus camera for diabetic retinopathy (DR) screening, against an established desktop fundus camera benchmark using a transfer-learning approach in which artificial intelligence (AI)-based de...

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Principais autores: Emmanuel Eric Pazo, Xiangying Liu, Shoukuan Liu, Qinru Zhang, Mingxuan Zhang, Zhihui Zhang, Salissou Moutari, Muhammad Usama, Xinjun Ren
Formato: Artigo
Idioma:Inglês
Publicado em: Adis, Springer Healthcare 2026-03-01
coleção:Ophthalmology and Therapy
Assuntos:
Diabetic retinopathy
Handheld fundus camera
Artificial intelligence
Deep learning
Telemedicine
Point-of-care diagnostics
Acesso em linha:https://doi.org/10.1007/s40123-026-01353-w
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