Rate and Predictors of Misclassification of Active Diabetic Macular Edema as Detected by an Automated Retinal Image Analysis System

Rate and Predictors of Misclassification of Active Diabetic Macular Edema as Detected by an Automated Retinal Image Analysis System

Abstract Introduction The aim of this work is to estimate the sensitivity, specificity, and misclassification rate of an automated retinal image analysis system (ARIAS) in diagnosing active diabetic macular edema (DME) and to identify factors associated with true and false positives. Methods We cond...

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Bibliographic Details
Main Authors: Lamberto La Franca, Carola Rutigliani, Lisa Checchin, Rosangela Lattanzio, Francesco Bandello, Maria Vittoria Cicinelli
Format: Article
Language:English
Published: Adis, Springer Healthcare 2024-04-01
Series:Ophthalmology and Therapy
Subjects:
Artificial intelligence
Diabetic retinopathy
Diabetic macular edema
Surveillance
Online Access:https://doi.org/10.1007/s40123-024-00929-8

Internet

https://doi.org/10.1007/s40123-024-00929-8

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