Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology.

Journal: Current opinion in ophthalmology
Published Date:

Abstract

PURPOSE OF REVIEW: The application of artificial intelligence (AI) in medicine and ophthalmology has experienced exponential breakthroughs in recent years in diagnosis, prognosis, and aiding clinical decision-making. The use of digital data has also heralded the need for privacy-preserving technology to protect patient confidentiality and to guard against threats such as adversarial attacks. Hence, this review aims to outline novel AI-based systems for ophthalmology use, privacy-preserving measures, potential challenges, and future directions of each.

Authors

  • Jane S Lim
    Singapore National Eye Centre, Singapore Eye Research Institute.
  • Merrelynn Hong
    Ministry of Health Holdings.
  • Walter S T Lam
    Yong Loo Lin School of Medicine, National University of Singapore.
  • Zheting Zhang
    Lee Kong Chian School of Medicine, Nanyang Technological University.
  • Zhen Ling Teo
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Wei Yan Ng
    Duke-NUS Medical School, National University of Singapore.
  • Li Lian Foo
    Singapore National Eye Centre, Singapore.
  • Daniel S W Ting
    Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK. Electronic address: daniel.ting.s.w@singhealth.com.sg.