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Review
. 2022 Jul;106(7):889-892.
doi: 10.1136/bjophthalmol-2022-321141. Epub 2022 May 6.

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

Siddharth Nath  1   2 , Abdullah Marie  3 , Simon Ellershaw  4 , Edward Korot  5 , Pearse A Keane  6
Affiliations
Review

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

Siddharth Nath et al. Br J Ophthalmol. 2022 Jul.

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.

Keywords: Diagnostic tests/Investigation; Telemedicine.

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Conflict of interest statement

Competing interests: EK has acted as a consultant for Google Health and Genentech and is an equity holder in Reti Health. PAK has acted as a consultant for DeepMind, Roche, Novartis, Apellis and BitFount, and is an equity owner in Big Picture Medical. He has received speaker fees from Heidelberg Engineering, Topcon, Allergan and Bayer.

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