Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context

PURPOSE: This study aims to evaluate the ability of an autonomous artificial intelligence (AI) system for detection of the most common central retinal pathologies in fundus photography. METHODS: Retrospective diagnostic test evaluation on a raw dataset of 5918 images (2839 individuals) evaluated wit...

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Detalles Bibliográficos
Autores principales: Font, Octavi, Torrents-Barrena, Jordina, Royo, Dídac, García, Sandra Banderas, Zarranz-Ventura, Javier, Bures, Anniken, Salinas, Cecilia, Zapata, Miguel Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Basic Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477940/
https://www.ncbi.nlm.nih.gov/pubmed/35567610
http://dx.doi.org/10.1007/s00417-022-05653-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477940/
https://www.ncbi.nlm.nih.gov/pubmed/35567610
http://dx.doi.org/10.1007/s00417-022-05653-2

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