Korngiebel Diane M, Mooney Sean D
The Hastings CenterGarrison, New York, NY, USA.
Department of Biomedical Informatics and Medical Education, University of Washington Seattle, Seattle, WA, USA.
NPJ Digit Med. 2021 Jun 3;4(1):93. doi: 10.1038/s41746-021-00464-x.
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.
自然语言计算机应用正变得日益复杂，随着生成式预训练变换器3（Generative Pre-trained Transformer 3）的最新发布，它们可能会被部署到历来涉及人与人交互的医疗保健相关环境中。然而，要考虑将GPT-3及类似应用用于与健康相关的环境，就需要对其可能性和潜在问题进行深入探讨。在本文中，我们简要介绍一些在电子健康中部署先进自然语言处理应用时会出现的机遇和注意事项。
