Impact of retinal photography-based deep learning system on risk stratification for chronic kidney disease progression

被引：0
|
作者：
Park, Jung Tak [1 ,2 ]
Joo, Young Su [1 ]
Rim, Tyler Hyungtaek [3 ,4 ]
Han, Seung Hyeok [1 ]
Yoo, Tae-Hyun [1 ]
Kang, Shin-Wook [1 ]
机构：
[1] Yonsei Univ, Inst Kidney Dis Res, Coll Med, Dept Internal Med, Seoul, South Korea
[2] Yonsei Univ, Inst Innovat Digital Healthcare, Seoul, South Korea
[3] Singapore Eye Res Inst, Singapore, Singapore
[4] MediWhale, Seoul, South Korea
来源：
NEPHROLOGY DIALYSIS TRANSPLANTATION | 2024年 / 39卷
关键词：
D O I：
10.1093/ndt/gfae069.508
中图分类号：
R3 [基础医学]; R4 [临床医学];
学科分类号：
1001 ; 1002 ; 100602 ;
摘要：
913
引用
收藏
页数：2
相关论文
共 50 条
  • [1] Impact of retinal photography-based deep learning system on risk stratification for chronic kidney disease progression
    Park, Jung Tak
    Joo, Young Su
    Rim, Tyler Hyungtaek
    Han, Seung Hyeok
    Yoo, Tae-Hyun
    Kang, Shin-Wook
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2024, 39 : I828 - I829
  • [2] A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease
    Lim, Cynthia Ciwei
    Chong, Crystal
    Tan, Gavin
    Tan, Chieh Suai
    Cheung, Carol Y.
    Wong, Tien Y.
    Cheng, Ching Yu
    Sabanayagam, Charumathi
    CLINICAL KIDNEY JOURNAL, 2023, 16 (12) : 2693 - 2702
  • [3] Predicting Diabetic Kidney Disease Progression Using Retinal Image Based Deep Learning algorithms
    Sabanayagam, Charumathi
    Chee, Evelyn
    He, Feng
    Lim, Cynthia
    Cheng, Ching-Yu
    Wong, Tien Y.
    Lee, Mong Li
    Hsu, Wynne
    Tan, Gavin
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (07)
  • [4] Artificial Intelligence Deep Learning System for Predicting Chronic Kidney Disease from Retinal Images
    Wong, Tien Y.
    Xu, Dejiang
    Ting, Daniel
    Nusinovici, Simon
    Cheung, Carol
    Shyong, Tai E.
    Cheng, Ching-Yu
    Li Lee, Mong
    Hsu, Wynne
    Sabanayagam, Charumathi
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [5] A Deep-Learning-Based System for Automated Sensing of Chronic Kidney Disease
    Bhaskar, Navaneeth
    Suchetha, M.
    IEEE SENSORS LETTERS, 2019, 3 (10)
  • [6] Machine learning for risk stratification in kidney disease
    Gulamali, Faris F.
    Sawant, Ashwin S.
    Nadkarni, Girish N.
    CURRENT OPINION IN NEPHROLOGY AND HYPERTENSION, 2022, 31 (06): : 548 - 552
  • [7] Chronic Kidney Disease in Children: Risk-Based Stratification and Treatment
    Weidemann D.K.
    Warady B.A.
    Current Treatment Options in Pediatrics, 2019, 5 (2) : 45 - 60
  • [8] Interpretable machine learning for predicting chronic kidney disease progression risk
    Zheng, Jin-Xin
    Li, Xin
    Zhu, Jiang
    Guan, Shi-Yang
    Zhang, Shun-Xian
    Wang, Wei-Ming
    DIGITAL HEALTH, 2024, 10
  • [9] Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors
    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
    NPJ DIGITAL MEDICINE, 2023, 6 (01)
  • [10] Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors
    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
    npj Digital Medicine, 6
12345