Screening of Moyamoya Disease From Retinal Photographs: Development and Validation of Deep Learning Algorithms.

Journal: Stroke
Published Date: Jan 23, 2024

Abstract

BACKGROUND: Moyamoya disease (MMD) is a rare and complex pathological condition characterized by an abnormal collateral circulation network in the basal brain. The diagnosis of MMD and its progression is unpredictable and influenced by many factors. MMD can affect the blood vessels supplying the eyes, resulting in a range of ocular symptoms. In this study, we developed a deep learning model using real-world data to assist a diagnosis and determine the stage of the disease using retinal photographs.

Authors

  • JaeSeong Hong
    Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea.
  • Sangchul Yoon
    Department of Medical Humanities and Social Sciences (S.Y.), Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kyu Won Shim
    Department of Pediatric Neurosurgery, Craniofacial Reforming and Reconstruction Clinic, Yonsei University College of Medicine, Severance Children's Hospital, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea. shimkyuwon@yuhs.ac.
  • Yu Rang Park
    Asan Medical Center, Seoul, Republic of Korea.

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