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

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 cap...

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Vydáno v:	British journal of ophthalmology Ročník 106; číslo 7; s. 889 - 892
Hlavní autoři:	Nath, Siddharth, Marie, Abdullah, Ellershaw, Simon, Korot, Edward, Keane, Pearse A
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	BMA House, Tavistock Square, London, WC1H 9JR BMJ Publishing Group Ltd 01.07.2022 BMJ Publishing Group LTD
Témata:	Cataracts Datasets Diagnostic tests/Investigation Electronic health records Gender Humans Internet Language instruction Medical diagnosis Medical personnel Medical research Natural Language Processing Ophthalmology Pain management Patients Review Telemedicine Telemedicine Diagnostic tests/Investigation
ISSN:	0007-1161, 1468-2079, 1468-2079
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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.
AbstractList	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. 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.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.
Author	Ellershaw, Simon Marie, Abdullah Keane, Pearse A Nath, Siddharth Korot, Edward
Author_xml	– sequence: 1 givenname: Siddharth orcidid: 0000-0003-4520-7163 surname: Nath fullname: Nath, Siddharth organization: National Institute for Health Research, Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology, Moorfields Eye Hospital City Road Campus, London, UK – sequence: 2 givenname: Abdullah surname: Marie fullname: Marie, Abdullah organization: School of Medicine and Dentistry, Queen's University Belfast, Belfast, UK – sequence: 3 givenname: Simon surname: Ellershaw fullname: Ellershaw, Simon organization: UKRI Centre for Doctoral Training in AI-enabled Healthcare, University College London, London, UK – sequence: 4 givenname: Edward orcidid: 0000-0002-5687-1564 surname: Korot fullname: Korot, Edward organization: Byers Eye Institute, Stanford University, Stanford, California, USA – sequence: 5 givenname: Pearse A surname: Keane fullname: Keane, Pearse A email: p.keane@ucl.ac.uk organization: National Institute for Health Research, Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology, Moorfields Eye Hospital City Road Campus, London, UK
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Snippet	Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction of human language with computer systems. NLP has recently...
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Title	New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology
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