Artificial intelligence in diabetic retinopathy screening: clinical assessment using handheld fundus camera in a real-life setting

AIM: Diabetic retinopathy (DR) represents the main cause of vision loss among working age people. A prompt screening of this condition may prevent its worst complications. This study aims to validate the in-built artificial intelligence (AI) algorithm Selena+ of a handheld fundus camera (Optomed Aur...

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Detalles Bibliográficos
Autores principales: Lupidi, Marco, Danieli, Luca, Fruttini, Daniela, Nicolai, Michele, Lassandro, Nicola, Chhablani, Jay, Mariotti, Cesare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166040/
https://www.ncbi.nlm.nih.gov/pubmed/37154944
http://dx.doi.org/10.1007/s00592-023-02104-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166040/
https://www.ncbi.nlm.nih.gov/pubmed/37154944
http://dx.doi.org/10.1007/s00592-023-02104-0

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