Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images

Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images

Abstract Branch retinal vein occlusion (BRVO) is a leading cause of visual impairment in working-age individuals, though predicting its occurrence from retinal vascular features alone remains challenging. We developed a deep learning model to predict BRVO based on pre-onset, metadata-matched fundus...

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Bibliographic Details
Main Authors: Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Branch retinal vein occlusion
Deep learning
Multimodal prediction model
Fundus hemisection images
Retinal vascular features
Online Access:https://doi.org/10.1038/s41598-025-85777-7
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https://doi.org/10.1038/s41598-025-85777-7

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