CT-based artificial intelligence prediction model for ocular motility score of thyroid eye disease.

Journal: Endocrine
PMID:

Abstract

PURPOSE: Thyroid eye disease (TED) is the most common orbital disease in adults. Ocular motility restriction is the primary complaint of patients, while its evaluation is quite difficult. The present study aimed to introduce an artificial intelligence (AI) model based on orbital computed tomography (CT) images for ocular motility score.

Authors

  • Zijia Liu
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Kexin Tan
    Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
  • Haiyang Zhang
    Department of Computer Science, University of Sheffield, UK.
  • Jing Sun
    Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yinwei Li
    Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
  • Sijie Fang
    Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
  • Jipeng Li
    Department of Anesthesiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000 Zhejiang Province, China.
  • Xuefei Song
    Department of Ophthalmology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Huifang Zhou
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
  • Guangtao Zhai
    Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China. zhaiguangtao@sjtu.edu.cn.