Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.

Journal: JMIR medical informatics
PMID: 39924305

Abstract

BACKGROUND: Chronic kidney disease (CKD) is a prevalent condition with significant global health implications. Early detection and management are critical to prevent disease progression and complications. Deep learning (DL) models using retinal images have emerged as potential noninvasive screening tools for CKD, though their performance may be limited, especially in identifying individuals with proteinuria and in specific subgroups.

Authors

  • YoungMin Bhak
    Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
  • Yu Ho Lee
    Division of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Korea.
  • Joonhyung Kim
    Department of Ophthalmology, CHA Bundang Medical Center, CHA University, Gyeonggi-do, Republic of Korea.
  • Kiwon Lee
    Department of Neurology, Division of Stroke and Neurocritical Care, Robert Wood Johnson University Hospital New Brunswick, New Jersey.
  • Daehwan Lee
    Spidercore Inc, Daejeon, Republic of Korea.
  • Eun Chan Jang
    Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.
  • Eunjeong Jang
    Department of Biomedical Informatics, School of Medicine, CHA University, 335 Pangyo-ro, Seongnam, Republic of Korea, 82 31-881-7964, 82 31-881-7069.
  • Christopher Seungkyu Lee
    Department of Ophthalmology, Institute of Vision Research, Severance Eye Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Eun Seok Kang
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Sehee Park
    Department of ICT Safety, Graduate School of Chung-Ang University, Seoul, Republic of Korea.
  • Hyun Wook Han
    Ajou University School of Medicine, Department of Biomedical Informatics, Suwon, 16499, Republic of Korea. stepano7@gmail.com.
  • Sang Min Nam
    Department of Biomedical Informatics, CHA University, Seongnam, Republic of Korea; Institute for Biomedical Informatics, CHA University, Seongnam, Republic of Korea; Daechi Yonsei Eye Clinics, Seoul, Republic of Korea.

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