Oct 4, 2024 | The Lancet Healthy Longevity
The Lancet Healthy Longevity, Oct. 2024 Summary Background Biological ageing markers are useful to risk stratify morbidity and mortality more precisely than chronological age. In this study, we aimed to develop a novel deep-learning-based biological ageing marker...Jul 15, 2024 | ARVO Annual Meeting Abstract
ARVO Annual Meeting Abstract, June 2024 Abstract Purpose : This Reti-CVD successfully predicted CVD events in individuals with no history of CVD. The present study aims to evaluate the predictive ability of retinal images and deep learning for all-cause mortality in...Jul 15, 2024 | ARVO Annual Meeting Abstract
ARVO Annual Meeting Abstract, June 2024 Abstract Purpose : The advent of deep learning (DL) algorithms has now made it possible to predict the risk of cardiovascular disease (CVD) using retinal images. We had previously developed a retina-based DL model,...Jun 18, 2024 | European Renal Association
ERA 2024, 23 May 2024 Abstract Background and Aims We had previously developed a deep-learning-based risk evaluation system from retinal photographs, Reti-CKD, for stratifying chronic kidney (CKD) development risk in kidney function preserved people. This study aims...May 8, 2024 | Eye & VIsion
Eye and Vision, 06 May 2024 Abstract Background Artificial intelligence (AI) that utilizes deep learning (DL) has potential for systemic disease prediction using retinal imaging. The retina’s unique features enable non-invasive visualization of the central nervous...Apr 1, 2024 | Springer International Publishing
Springer International Publishing | Febuary 29, 2024 Abstract With the advent of deep learning, research has achieved significant success in various fields of ophthalmology, such as diabetic retinopathy detection, glaucoma detection and vessel segmentation. Despite...