Neurologic Dysfunction Assessment in Parkinson Disease Based on Fundus Photographs Using Deep Learning.

Journal: JAMA ophthalmology
PMID: 36757713

Abstract

IMPORTANCE: Until now, other than complex neurologic tests, there have been no readily accessible and reliable indicators of neurologic dysfunction among patients with Parkinson disease (PD). This study was conducted to determine the role of fundus photography as a noninvasive and readily available tool for assessing neurologic dysfunction among patients with PD using deep learning methods.

Authors

  • Sangil Ahn
    Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
  • Jitae Shin
    Department Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea. Electronic address: jtshin@skku.edu.
  • Su Jeong Song
    Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Won Tae Yoon
    Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Min Sagong
    Department of Ophthalmology, Yeungnam University College of Medicine, #170 Hyunchungro, Nam-gu, Daegu, 42415, South Korea. msagong@yu.ac.kr.
  • Areum Jeong
    Department of Ophthalmology, Yeungnam Eye Center, Yeungnam University Hospital, Yeungnam University College of Medicine, Daegu, Republic of Korea.
  • Joon Hyung Kim
    Department of Ophthalmology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea.
  • Hyeong Gon Yu

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