AI diabetic retinopathy screening algorithms need external validation before deployment

Seven artificial intelligence diabetic retinopathy screening systems displayed high negative predictive values but exhibited wide variations in safety and specificity outcomes in a multicenter study.
“We believe external, independent validation with real-world imaging is critical prior to deployment, even after algorithms reach regulatory approval,” Aaron Y. Lee, MD, MSCI, said at the virtual American Society of Retina Specialists meeting.
Lee and colleagues included 311,604 retinal images from 23,724 patients who underwent teleretinal diabetic retinopathy screening at the VA Puget

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