Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients

BACKGROUND/AIMS: Human grading of digital images from diabetic retinopathy (DR) screening programmes represents a significant challenge, due to the increasing prevalence of diabetes. We evaluate the performance of an automated artificial intelligence (AI) algorithm to triage retinal images from the...

Descripción completa

Detalles Bibliográficos
Autores principales: Heydon, Peter, Egan, Catherine, Bolter, Louis, Chambers, Ryan, Anderson, John, Aldington, Steve, Stratton, Irene M, Scanlon, Peter Henry, Webster, Laura, Mann, Samantha, du Chemin, Alain, Owen, Christopher G, Tufail, Adnan, Rudnicka, Alicja Regina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Clinical Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077216/
https://www.ncbi.nlm.nih.gov/pubmed/32606081
http://dx.doi.org/10.1136/bjophthalmol-2020-316594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077216/
https://www.ncbi.nlm.nih.gov/pubmed/32606081
http://dx.doi.org/10.1136/bjophthalmol-2020-316594

Ejemplares similares