Nov 16, 2022 | AHA Scientific Session Abstract
AHA Scientific Session Abstract, November 2022 Background In our previous study, we developed a deep-learning-based novel cardiovascular disease (CVD) risk stratification system based on retinal photographs, Reti-CVD. This study aims to further validate Reti-CVD in...Nov 16, 2022 | AHA Scientific Session Abstract
AHA Scientific Session Abstract, November 2022 Introduction Currently in the United Kingdom, cardiovascular disease (CVD) risk assessment is based on the QRISK3 score, with a benchmark of 10% for 10-year CVD risk determining clinical intervention. Yet, effects on...Nov 16, 2022 | AHA Scientific Session Abstract
AHA Scientific Session Abstract, November 2022 Introduction The Korean Ministry of Food and Drug Safety (K-MFDS) has authorized over 110 artificial intelligence (AI)-software as medical devices (AI-SaMDs) for diagnostic purposes. Herein, we clinically validate the...Oct 23, 2022 | ASN Kidney Week Abstract
ASN Kidney Week Abstract, November 2022 Background Predicting kidney disease is challenging, especially in people with preserved kidney function. We developed a novel machine learning based risk scoring system in prediction of future risk of chronic kidney disease...Oct 17, 2022 | Frontiers in Digital Health
Frontiers in Digital Health, May 2022 Artificial Intelligence (AI) analytics has been used to predict, classify, and aid clinical management of multiple eye diseases. Its robust performances have prompted researchers to expand the use of AI into predicting systemic,...Oct 17, 2022 | Age and Ageing
Age and Ageing, April 2022 Background Ageing is an important risk factor for a variety of human pathologies. Biological age (BA) may better capture aging-related physiological changes compared with chronological age (CA). Objective we developed a deep learning (DL)...