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Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery
by
Korngiebel, Diane M.
, Mooney, Sean D.
in
706/648/179
/ 706/703/559
/ Biomedicine
/ Biotechnology
/ Comment
/ Digital technology
/ Health informatics
/ Medicine
/ Medicine & Public Health
/ Natural language
2021
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Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery
by
Korngiebel, Diane M.
, Mooney, Sean D.
in
706/648/179
/ 706/703/559
/ Biomedicine
/ Biotechnology
/ Comment
/ Digital technology
/ Health informatics
/ Medicine
/ Medicine & Public Health
/ Natural language
2021
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Do you wish to request the book?
Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery
by
Korngiebel, Diane M.
, Mooney, Sean D.
in
706/648/179
/ 706/703/559
/ Biomedicine
/ Biotechnology
/ Comment
/ Digital technology
/ Health informatics
/ Medicine
/ Medicine & Public Health
/ Natural language
2021
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Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery
Journal Article
Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery
2021
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Overview
Natural language computer applications are becoming increasingly sophisticated and, with the recent release of Generative Pre-trained Transformer 3, they could be deployed in healthcare-related contexts that have historically comprised human-to-human interaction. However, for GPT-3 and similar applications to be considered for use in health-related contexts, possibilities and pitfalls need thoughtful exploration. In this article, we briefly introduce some opportunities and cautions that would accompany advanced Natural Language Processing applications deployed in eHealth.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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