11월 10, 2023 | AHA Scientific Session Abstract
AHA Scientific Session Abstract, November 2023 Introduction The advent of sophisticated deep learning algorithms has now made it possible to predict the risk of cardiovascular diseases (CVDs) using retinal images. We had previously developed a retina-based deep...11월 10, 2023 | AHA Scientific Session Abstract
AHA Scientific Session Abstract, November 2023 Introduction Our previous work led to developing a deep learning algorithm for retinal images, Reti-CVD, which effectively predicted cardiovascular disease (CVD) events in individuals without CVD history, leveraging...11월 10, 2023 | AHA Scientific Session Abstract
AHA Scientific Session Abstract, November 2023 Introduction This study aimed to assess the ability of a deep learning algorithm, Reti-AF, developed from retinal photos, to predict atrial fibrillation (AF) incidence. Its predictive performance was evaluated using the...11월 10, 2023 | ASN Kidney Week Abstract
ASN Kidney Week Abstract, November 2023 BackgroundWe had previously developed a deep-learning-based risk evaluation system from retinal photographs, Reti-CKD, for stratifying chronic kidney development risk in kidney function preserved people. This study aims to...8월 8, 2023 | Indian J of ophthalmology
Indian J of ophthalmology, August 2023 Purpose To analyze the efficacy of a deep learning (DL)-based artificial intelligence (AI)-based algorithm in detecting the presence of diabetic retinopathy (DR) and glaucoma suspect as compared to the diagnosis by specialists...