Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions.

Journal: Current opinion in ophthalmology
Published Date: Sep 1, 2021

Abstract

PURPOSE OF REVIEW: Artificial intelligence (AI) is the fourth industrial revolution in mankind's history. Natural language processing (NLP) is a type of AI that transforms human language, to one that computers can interpret and process. NLP is still in the formative stages of development in healthcare, with promising applications and potential challenges in its applications. This review provides an overview of AI-based NLP, its applications in healthcare and ophthalmology, next-generation use case, as well as potential challenges in deployment.

Authors

  • Lily Wei Yun Yang
    NUS Yong Loo Lin School of Medicine, Singapore.
  • Wei Yan Ng
    Duke-NUS Medical School, National University of Singapore.
  • Li Lian Foo
    Singapore National Eye Centre, Singapore.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Ming Yan
  • Xiaofeng Lei
    Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Xiaoman Zhang
    Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Daniel Shu Wei Ting
    Singapore National Eye Center, Singapore Eye Research Institute Singapore Health Service Singapore Singapore.

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