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

被引：151

作者：

Korngiebel, Diane M. ^{[1
]}

Mooney, Sean D. ^{[2
]}

机构：

[1] Hastings CenterGarrison, New York, NY 10524 USA

[2] Univ Washington, Dept Biomed Informat & Med Educ, Seattle, WA 98195 USA

来源：

NPJ DIGITAL MEDICINE | 2021年 / 4卷 / 01期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1038/s41746-021-00464-x

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页数：3

共 23 条

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[2]

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