Performance of artificial intelligence in diabetic retinopathy screening: a systematic review and meta-analysis of prospective studies

AIMS: To systematically evaluate the diagnostic value of an artificial intelligence (AI) algorithm model for various types of diabetic retinopathy (DR) in prospective studies over the previous five years, and to explore the factors affecting its diagnostic effectiveness. MATERIALS AND METHODS: A sea...

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Detalles Bibliográficos
Autores principales: Wang, Zhibin, Li, Zhaojin, Li, Kunyue, Mu, Siyuan, Zhou, Xiaorui, Di, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296189/
https://www.ncbi.nlm.nih.gov/pubmed/37383397
http://dx.doi.org/10.3389/fendo.2023.1197783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296189/
https://www.ncbi.nlm.nih.gov/pubmed/37383397
http://dx.doi.org/10.3389/fendo.2023.1197783

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