Phenotyping of ABCA4 Retinopathy by Machine Learning Analysis of Full-Field Electroretinography

PURPOSE: Biallelic pathogenic variants in ABCA4 are the commonest cause of monogenic retinal disease. The full-field electroretinogram (ERG) quantifies severity of retinal dysfunction. We explored application of machine learning in ERG interpretation and in genotype–phenotype correlations. METHODS:...

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Detalles Bibliográficos
Autores principales: Glinton, Sophie L., Calcagni, Antonio, Lilaonitkul, Watjana, Pontikos, Nikolas, Vermeirsch, Sandra, Zhang, Gongyu, Arno, Gavin, Wagner, Siegfried K., Michaelides, Michel, Keane, Pearse A., Webster, Andrew R., Mahroo, Omar A., Robson, Anthony G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Retina
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527330/
https://www.ncbi.nlm.nih.gov/pubmed/36178783
http://dx.doi.org/10.1167/tvst.11.9.34

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527330/
https://www.ncbi.nlm.nih.gov/pubmed/36178783
http://dx.doi.org/10.1167/tvst.11.9.34

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