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 Auro...

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Veröffentlicht in:	Acta diabetologica Jg. 60; H. 8; S. 1083 - 1088
Hauptverfasser:	Lupidi, Marco, Danieli, Luca, Fruttini, Daniela, Nicolai, Michele, Lassandro, Nicola, Chhablani, Jay, Mariotti, Cesare
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Milan Springer Milan 01.08.2023 Springer Nature B.V
Schlagworte:	Agreements Algorithms Archives & records Artificial Intelligence Automation Cameras Cataracts Coronaviruses COVID-19 Cross-Sectional Studies Diabetes Diabetes Mellitus Diabetic retinopathy Diabetic Retinopathy - diagnosis Humans Internal Medicine Low income groups Mass Screening - methods Medicine Medicine & Public Health Metabolic Diseases Original Original Article Patients Photography Retina Retinopathy Signs Software Statistical analysis Finland Handheld fundus cameras Diabetic retinopathy Screening Artificial intelligence
ISSN:	1432-5233, 0940-5429, 1432-5233
Online-Zugang:	Volltext
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