Uncertainty-Aware Selective Prediction of Neovascular Age-Related Macular Degeneration Recurrence Using Artificial Intelligence

Neovascular age-related macular degeneration (nAMD) is a progressive, sight-threatening disease predominantly affecting older adults and a leading cause of global vision loss projected to rise with aging populations. Although existing artificial intelligence (AI) studies have investigated nAMD recur...

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Principais autores:	Won Tae Yoon, Hun-Gyeom Kim, Junhyung Moon, Dat Ngo, Jae Hui Kim, Baek Hwan Cho
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Neovascular age-related macular degeneration recurrence prediction artificial intelligence selective prediction Monte Carlo dropout probabilistic thresholding multimodal data
Acesso em linha:	https://ieeexplore.ieee.org/document/11418893/
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