Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores JK Yi, TH Rim, S Park, SS Kim, HC Kim, CJ Lee, H Kim, G Lee, JSG Lim, ... European Heart Journal-Digital Health 4 (3), 236-244, 2023 | 15 | 2023 |
Framework to assess the quality of mHealth apps: a mixed-method international case study protocol YY Tan, F Woulfe, GB Chirambo, P Henn, L Cilliers, KP Fadahunsi, ... BMJ open 12 (10), e062909, 2022 | 3 | 2022 |
Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging YY Tan, HG Kang, CJ Lee, SS Kim, S Park, S Thakur, Z Da Soh, Y Cho, ... Eye and Vision 11 (1), 17, 2024 | 2 | 2024 |
Acceptability, Perceptions, and Experiences Regarding Electronic Patient-Reported Outcomes After Laparoscopic Cholecystectomy: Protocol for a Mixed Methods Feasibility Study K Choucair, M Corrigan, A O'Sullivan, S Barber, L Stankiewicz, P Henn, ... JMIR Research Protocols 13 (1), e57344, 2024 | | 2024 |
Retinal Imaging and Deep Learning in Predicting All-Cause Mortality among Patients with Cardiovascular Disease: A UK Biobank Study with a Gender Perspective YY Tan, TH RIM, HG Kang, CJ Lee, G Lee, M Yu, YC Tham, CY Cheng, ... Investigative Ophthalmology & Visual Science 65 (7), 1588-1588, 2024 | | 2024 |
AB150. SOH24AB_222. A cross-sectional exploration of electronic patient reported outcomes and experiences after laparoscopic cholecystectomies K Choucair, J O’Donoghue, M Corrigan, A O’Sullivan, S Barber, ... Mesentery and Peritoneum 8, 2024 | | 2024 |
Big data and artificial intelligence in ophthalmology-clinical application and future exploration YY Tan, TH Rim, DSJ Ting, YT Hsieh, T Kim Frontiers in Medicine 10, 1339280, 2023 | | 2023 |