Development and Validation of a Deep Learning Model to Predict the Occurrence and Severity of Retinopathy of Prematurity.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Prediction of ROP before onset holds great promise for reducing the risk of blindness.

Authors

  • Qiaowei Wu
    Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, the Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Yijun Hu
    Aier Institute of Refractive Surgery, Refractive Surgery Center, Guangzhou Aier Eye Hospital, Guangzhou, China.
  • Zhenyao Mo
    School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China.
  • Rong Wu
    Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xiayin Zhang
    State Key Laboratory of Ophthalmology, Clinical Research Center for Ocular Disease, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Yahan Yang
    University of Pennsylvania, Philadelphia, PA.
  • Baoyi Liu
    Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, the Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Yu Xiao
    Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, the Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Xiaomin Zeng
    Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, the Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Zhanjie Lin
    Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
  • Ying Fang
    College of Medical Technology, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
  • Yijin Wang
    Department of Neonatology, Second Nanning People's Hospital, Nanning, China.
  • Xiaohe Lu
    Department of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
  • Yanping Song
    School of Public Administration, Central South University, Changsha, Hunan, China.
  • Wing W Y Ng
    School of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, China.
  • Songfu Feng
    Department of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
  • Honghua Yu
    Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, the Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.