Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images.
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DOI: 10.1001/jamaophthalmol.2023.6318
Abstract: Importance Machine learning (ML) algorithms have the potential to identify eyes with early diabetic retinopathy (DR) at increased risk for disease progression. Objective To create and validate automated ML models (autoML) for DR progression from… read more here.
Keywords: progression; machine learning; retinal images; progression ultra ... See more keywords