Zobrazeno 1 - 10 of 262 pro vyhledávání: '"Hyungtaek Rim"'
1
Akademický článek
Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging
Autor: Yong Yu Tan, Hyun Goo Kang, Chan Joo Lee, Sung Soo Kim, Sungha Park, Sahil Thakur, Zhi Da Soh, Yunnie Cho, Qingsheng Peng, Kwanghyun Lee, Yih-Chung Tham, Tyler Hyungtaek Rim, Ching-yu Cheng
Publikováno v: Eye and Vision, Vol 11, Iss 1, Pp 1-18 (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 system and
Externí odkaz: https://doaj.org/article/c95649fbfe9b49c4a5770654088adfd9
Zobrazit plný text záznamu
3
Akademický článek
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors
Autor: Young Su Joo, Tyler Hyungtaek Rim, Hee Byung Koh, Joseph Yi, Hyeonmin Kim, Geunyoung Lee, Young Ah Kim, Shin-Wook Kang, Sung Soo Kim, Jung Tak Park
Publikováno v: npj Digital Medicine, Vol 6, Iss 1, Pp 1-7 (2023)
Abstract Despite the importance of preventing chronic kidney disease (CKD), predicting high-risk patients who require active intervention is challenging, especially in people with preserved kidney function. In this study, a predictive risk score for
Externí odkaz: https://doaj.org/article/20a2f62a9abf4df285cad73685b2a2cf
Zobrazit plný text záznamu
4
Akademický článek
Associations between Chronic Kidney Disease and Thinning of Neuroretinal Layers in Multiethnic Asian and White Populations
Autor: Shivani Majithia, OD, Crystal Chun Yuen Chong, BSc, Miao Li Chee, MPH, Marco Yu, PhD, Zhi Da Soh, MPH, Sahil Thakur, MS, MBBS, Raghavan Lavanya, MRCS, Tyler Hyungtaek Rim, MD, PhD, Simon Nusinovici, PhD, Victor Koh, MBBS, MSc, Charumathi Sabanayagam, MD, PhD, Ching-Yu Cheng, MD, PhD, Yih-Chung Tham, PhD
Publikováno v: Ophthalmology Science, Vol 4, Iss 1, Pp 100353- (2024)
Purpose: To evaluate the relationships between chronic kidney disease (CKD) with retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GCIPL) thickness profiles of eyes in Asian and White populations. Design: Cross-sectional analy
Externí odkaz: https://doaj.org/article/106e1d945a7746e999cba499bfd0f9e1
Zobrazit plný text záznamu
6
Akademický článek
Cardiovascular disease and thinning of retinal nerve fiber layer in a multi-ethnic Asian population: the Singapore epidemiology of eye diseases study
Autor: Shivani Majithia, Debra Q. Y. Quek, Miao Li Chee, Zhi Wei Lim, Simon Nusinovici, Zhi-Da Soh, Sahil Thakur, Tyler Hyungtaek Rim, Charumathi Sabanayagam, Ching-Yu Cheng, Yih-Chung Tham
Publikováno v: Frontiers in Medicine, Vol 10 (2023)
IntroductionOur study aimed to examine the relationship between cardiovascular diseases (CVD) with peripapillary retinal fiber layer (RNFL) and macular ganglion cell-inner plexiform layer (GCIPL) thickness profiles in a large multi-ethnic Asian popul
Externí odkaz: https://doaj.org/article/7d4aec24d7ee456699ce7e672a8618c1
Zobrazit plný text záznamu
8
Akademický článek
Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma
Autor: Janani Surya, Garima, Neha Pandy, Tyler Hyungtaek Rim, Geunyoung Lee, M N Swathi Priya, Brughanya Subramanian, Rajiv Raman
Publikováno v: Indian Journal of Ophthalmology, Vol 71, Iss 8, Pp 3039-3045 (2023)
Purpose: To analyze the efficacy of a deep learning (DL)-based artificial intelligence (AI)-based algorithm in detecting the presence of diabetic retinopathy (DR) and glaucoma suspect as compared to the diagnosis by specialists secondarily to explore
Externí odkaz: https://doaj.org/article/380f9f1353f6422b859903abedc045bc
Zobrazit plný text záznamu
9
Akademický článek
Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank
Autor: Rachel Marjorie Wei Wen Tseng, Tyler Hyungtaek Rim, Eduard Shantsila, Joseph K. 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, Gregory Y.H. Lip, Tien Yin Wong, Ching-Yu Cheng
Publikováno v: BMC Medicine, Vol 21, Iss 1, Pp 1-10 (2023)
Abstract Background Currently in the United Kingdom, cardiovascular disease (CVD) risk assessment is based on the QRISK3 score, in which 10% 10-year CVD risk indicates clinical intervention. However, this benchmark has limited efficacy in clinical pr
Externí odkaz: https://doaj.org/article/4bf93101bb6d41aa9b0d390b25f097f0
Zobrazit plný text záznamu
10
Akademický článek
From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning.
Autor: Zhi Da Soh, Yixing Jiang, Sakthi Selvam S/O Ganesan, Menghan Zhou, Monisha Nongiur, Shivani Majithia, Yih Chung Tham, Tyler Hyungtaek Rim, Chaoxu Qian, Victor Koh, Tin Aung, Tien Yin Wong, Xinxing Xu, Yong Liu, Ching-Yu Cheng
Publikováno v: PLOS Digital Health, Vol 2, Iss 2, p e0000193 (2023)
Anterior chamber depth (ACD) is a major risk factor of angle closure disease, and has been used in angle closure screening in various populations. However, ACD is measured from ocular biometer or anterior segment optical coherence tomography (AS-OCT)
Externí odkaz: https://doaj.org/article/332066642c364d22ba3cfdb2f11090e1
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje