Application of artificial intelligence in the assessment of thyroid eye disease (TED) - a scoping review.

Journal: Frontiers in endocrinology
Published Date:

Abstract

BACKGROUND: There is emerging evidence which suggests the utility of artificial intelligence (AI) in the diagnostic assessment and pre-treatment evaluation of thyroid eye disease (TED). This scoping review aims to (1) identify the extent of the available evidence (2) provide an in-depth analysis of AI research methodology of the studies included in the review (3) Identify knowledge gaps pertaining to research in this area.

Authors

  • Chiaw-Ling Chng
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Kaiping Zheng
    School of Computing, National University of Singapore, Singapore, Singapore.
  • Ann Kerwen Kwee
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Ming-Han Hugo Lee
    Oculoplastic Department, Sydney Eye Hospital, Sydney, SW, Australia.
  • Daniel Ting
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Chen Pong Wong
    Department of Neuroradiology, Singapore General Hospital, Singapore, Singapore.
  • Guoyu Hu
    School of Computing, National University of Singapore, Singapore, Singapore.
  • Beng Chin Ooi
    School of Computing, National University of Singapore, Singapore, Singapore.
  • Si Wei Kheok
    Department of Neuroradiology, Singapore General Hospital, Singapore, Singapore.