Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in real-world settings: A systematic review and meta-analysis

Retrospective studies on artificial intelligence (AI) in screening for diabetic retinopathy (DR) have shown promising results in addressing the mismatch between the capacity to implement DR screening and increasing DR incidence. This review sought to evaluate the diagnostic test accuracy (DTA) of AI...

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Detalles Bibliográficos
Autores principales: Uy, Holijah, Fielding, Christopher, Hohlfeld, Ameer, Ochodo, Eleanor, Opare, Abraham, Mukonda, Elton, Minnies, Deon, Engel, Mark E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511145/
https://www.ncbi.nlm.nih.gov/pubmed/37729122
http://dx.doi.org/10.1371/journal.pgph.0002160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511145/
https://www.ncbi.nlm.nih.gov/pubmed/37729122
http://dx.doi.org/10.1371/journal.pgph.0002160

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