Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores — Joseph Yi (2023) | RDL Network
Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores
Article 2023 en
Authors
JY
Joseph Yi
TR
Tyler Hyungtaek Rim
SP
Sungha Park
Abstract
1 min read
The retinal photograph biomarker (Reti-CVD) was able to identify individuals with intermediate and high-risk for CVD, in accordance with existing risk assessment tools.
Rachel Marjorie Wei Wen Tseng, Tyler Hyungtaek Rim, Eduard Shantsila, Sungha Park, Sung Soo Kim, Chan Joo Lee, Yih Chung Tham, Sahil Thakur, Joseph Yi, Simon Nusinovici, Qingsheng Peng, Marco Yu, Geunyoung Lee, Ameet Bakhai, Paul Leeson, Professor Gregory Lip, Tien Yin Wong, Ching‐Yu Cheng
Rachel Marjorie Wei Wen Tseng, Tyler Hyungtaek Rim, Eduard Shantsila, Joseph Yi, Sungha Park, Sung Soo Kim, Chan Joo Lee, Sahil Thakur, Simon Nusinovici, Qingsheng Peng, Hyeonmin Kim, Geunyoung Lee, Marco Yu, Yih Chung Tham, Ameet Bakhai, Paul Leeson, Professor Gregory Lip, Tien Yin Wong, Ching‐Yu Cheng
Tyler Hyungtaek Rim, Hyun Goo Kang, Chan Joo Lee, Sung Soo Kim, Hyeonmin Kim, Geunyoung Lee, Marco Yu, Yih Chung Tham, Ching‐Yu Cheng, Sungha Park, Professor Gregory Lip
Inés Domínguez‐López, Rosa M. Lamuela‐Raventós, Cristina Razquín, Camila Arancibia‐Riveros, Polina Galkina, Jordi Salas‐Salvadó, Ángel M. Alonso‐Gómez, Montserrat Fitó, Miquel Fiol, José Lapetra, Enrique Gómez‐Gracia, José V. Sorlí, Miguel Ruiz‐Canela, Olga Castañer, Liming Liang, Lluís Serra‐Majem, Frank B Hu, Emilio Ros, Miguel Ángel González Martínez, Ramón Estruch
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