Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD

PURPOSE: To build and validate artificial intelligence (AI)-based models for AMD screening and for predicting late dry and wet AMD progression within 1 and 2 years. METHODS: The dataset of the Age-related Eye Disease Study (AREDS) was used to train and validate our prediction model. External validat...

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Detalles Bibliográficos
Autores principales: Bhuiyan, Alauddin, Wong, Tien Yin, Ting, Daniel Shu Wei, Govindaiah, Arun, Souied, Eric H., Smith, R. Theodore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396183/
https://www.ncbi.nlm.nih.gov/pubmed/32818086
http://dx.doi.org/10.1167/tvst.9.2.25

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396183/
https://www.ncbi.nlm.nih.gov/pubmed/32818086
http://dx.doi.org/10.1167/tvst.9.2.25

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