Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma

por Surya, Janani, Garima, Pandy, Neha, Hyungtaek Rim, Tyler, Lee, Geunyoung, Priya, MN Swathi, Subramanian, Brughanya, Raman, Rajiv
Publicado 2023

Adopting machine learning to automatically identify candidate patients for corneal refractive surgery

por Yoo, Tae Keun, Ryu, Ik Hee, Lee, Geunyoung, Kim, Youngnam, Kim, Jin Kuk, Lee, In Sik, Kim, Jung Sub, Rim, Tyler Hyungtaek
Publicado 2019

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level

por Yoo, Tae Keun, Ryu, Ik Hee, Choi, Hannuy, Kim, Jin Kuk, Lee, In Sik, Kim, Jung Sub, Lee, Geunyoung, Rim, Tyler Hyungtaek
Publicado 2020

Development of a Web-Based Ensemble Machine Learning Application to Select the Optimal Size of Posterior Chamber Phakic Intraocular Lens

por Kang, Eun Min, Ryu, Ik Hee, Lee, Geunyoung, Kim, Jin Kuk, Lee, In Sik, Jeon, Ga Hee, Song, Hojin, Kamiya, Kazutaka, Yoo, Tae Keun
Publicado 2021

Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors

por Joo, Young Su, Rim, Tyler Hyungtaek, Koh, Hee Byung, Yi, Joseph, Kim, Hyeonmin, Lee, Geunyoung, Kim, Young Ah, Kang, Shin-Wook, Kim, Sung Soo, Park, Jung Tak
Publicado 2023

Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study

por Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Soh, Zhi Da, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu
Publicado 2021

Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk

por Nusinovici, Simon, Rim, Tyler Hyungtaek, Yu, Marco, Lee, Geunyoung, Tham, Yih-Chung, Cheung, Ning, Chong, Crystal Chun Yuen, Da Soh, Zhi, Thakur, Sahil, Lee, Chan Joo, Sabanayagam, Charumathi, Lee, Byoung Kwon, Park, Sungha, Kim, Sung Soo, Kim, Hyeon Chang, Wong, Tien-Yin, Cheng, Ching-Yu
Publicado 2022

Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores

por Yi, Joseph Keunhong, Rim, Tyler Hyungtaek, Park, Sungha, Kim, Sung Soo, Kim, Hyeon Chang, Lee, Chan Joo, Kim, Hyeonmin, Lee, Geunyoung, Lim, James Soo Ghim, Tan, Yong Yu, Yu, Marco, Tham, Yih-Chung, Bakhai, Ameet, Shantsila, Eduard, Leeson, Paul, Lip, Gregory Y H, Chin, Calvin W L, Cheng, Ching-Yu
Publicado 2023

Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

por Tseng, Rachel Marjorie Wei Wen, Rim, Tyler Hyungtaek, Shantsila, Eduard, Yi, Joseph K., Park, Sungha, Kim, Sung Soo, Lee, Chan Joo, Thakur, Sahil, Nusinovici, Simon, Peng, Qingsheng, Kim, Hyeonmin, Lee, Geunyoung, Yu, Marco, Tham, Yih-Chung, Bakhai, Ameet, Leeson, Paul, Lip, Gregory Y.H., Wong, Tien Yin, Cheng, Ching-Yu
Publicado 2023