SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease

PURPOSE: Rare disease diagnosis is challenging in medical image-based artificial intelligence due to a natural class imbalance in datasets, leading to biased prediction models. Inherited retinal diseases (IRDs) are a research domain that particularly faces this issue. This study investigates the app...

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Detalles Bibliográficos
Autores principales: Veturi, Yoga Advaith, Woof, William, Lazebnik, Teddy, Moghul, Ismail, Woodward-Court, Peter, Wagner, Siegfried K., Cabral de Guimarães, Thales Antonio, Daich Varela, Malena, Liefers, Bart, Patel, Praveen J., Beck, Stephan, Webster, Andrew R., Mahroo, Omar, Keane, Pearse A., Michaelides, Michel, Balaskas, Konstantinos, Pontikos, Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Artificial Intelligence and Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852957/
https://www.ncbi.nlm.nih.gov/pubmed/36685715
http://dx.doi.org/10.1016/j.xops.2022.100258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852957/
https://www.ncbi.nlm.nih.gov/pubmed/36685715
http://dx.doi.org/10.1016/j.xops.2022.100258

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