In this article published in the journal Diabetes Care, Dr. Aaron Lee and his co-authors put diabetic retinopathy screening algorithms to the test in the real world, evaluating them on retinal images from nearly 24,000 veterans who sought diabetic retinopathy screening at two Veterans Affairs health care systems (Seattle and Atlanta). These screening algorithms are designed to check patients who might be at risk for retinopathy, a potential complication of diabetes that can lead to blindness if left untreated. Based on performance in clinical trials, one of these algorithms is approved for use in the US, and several others are in clinical use in other countries. Dr. Lee wanted to know how well they worked outside of the clinical trial setting, however, when faced with real world data from a diverse group of patients in a variety of clinical settings.
Continue reading "Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems"Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems
