Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery

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 appli...

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Bibliographic Details
Published in:NPJ digital medicine 2021-06, Vol.4 (1), p.93-93, Article 93
Main Authors: Korngiebel, Diane M., Mooney, Sean D.
Format: Article
Language:English
Subjects:
706/648/179
706/703/559
Biomedicine
Biotechnology
Comment
Digital technology
Health informatics
Medicine
Medicine & Public Health
Natural language
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Summary: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.
ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-021-00464-x