Test accuracy of artificial intelligence-based grading of fundus images in diabetic retinopathy screening: A systematic review

OBJECTIVES: To systematically review the accuracy of artificial intelligence (AI)-based systems for grading of fundus images in diabetic retinopathy (DR) screening. METHODS: We searched MEDLINE, EMBASE, the Cochrane Library and the ClinicalTrials.gov from 1st January 2000 to 27th August 2021. Accura...

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Detalles Bibliográficos
Autores principales: Zhelev, Zhivko, Peters, Jaime, Rogers, Morwenna, Allen, Michael, Kijauskaite, Goda, Seedat, Farah, Wilkinson, Elizabeth, Hyde, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399100/
https://www.ncbi.nlm.nih.gov/pubmed/36617971
http://dx.doi.org/10.1177/09691413221144382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399100/
https://www.ncbi.nlm.nih.gov/pubmed/36617971
http://dx.doi.org/10.1177/09691413221144382

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