New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology.

Journal: The British journal of ophthalmology
Published Date: May 6, 2022

Abstract

Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction of human language with computer systems. NLP has recently been discussed in the mainstream media and the literature with the advent of Generative Pre-trained Transformer 3 (GPT-3), a language model capable of producing human-like text. The release of GPT-3 has also sparked renewed interest on the applicability of NLP to contemporary healthcare problems. This article provides an overview of NLP models, with a focus on GPT-3, as well as discussion of applications specific to ophthalmology. We also outline the limitations of GPT-3 and the challenges with its integration into routine ophthalmic care.

Authors

  • Siddharth Nath
    Department of Ophthalmology and Visual Sciences, McGill University, Montreal, QC, Canada.
  • Abdullah Marie
    School of Medicine and Dentistry, Queen's University Belfast, Belfast, UK.
  • Simon Ellershaw
    UKRI Centre for Doctoral Training in AI-enabled Healthcare, University College London, London, UK.
  • Edward Korot
    Moorfields Eye Hospital NHS Foundation Trust, London, UK; Stanford University Byers Eye Institute, Palo Alto, CA, USA.
  • Pearse A Keane
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.

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