Evaluation of choroid vascular layer thickness in wet age-related macular degeneration using artificial intelligence.

Journal: Photodiagnosis and photodynamic therapy
PMID:

Abstract

PURPOSE: To facilitate the assessment of choroid vascular layer thickness in patients with wet age-related macular degeneration (AMD) using artificial intelligence (AI).

Authors

  • Dan Song
    Department of Ophthalmology, Beijing Tisnghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Yuan Ni
    IBM Research, China, Beijing, China.
  • Ying Zhou
    Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Yaqian Niu
    Department of Ophthalmology, Peking University International Hospital, No. 1 Shengmingyuan Road, Zhongguancun Life Science Park, Changping District, Beijing, China.
  • Guanzheng Wang
    Institute for Cognitive Neurodynamics, School of Science, East China University of Science and Technology, Meilong Road 130 Shanghai 200237, China.
  • Bin Lv
    Ping An Healthcare Technology, Shang Hai, PR China.
  • Guotong Xie
    Ping An Health Technology, Beijing, China.
  • Guangfeng Liu
    West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.