介绍"医疗保健中的AI语言模型"部分:针对性和广泛部署的可操作策略
Alexandre Castonguay1, Christian Lovis2
1Faculté des sciences infirmières, Université de Montréal, Montréal, QC, Canada.
JMIR medical informatics
|December 21, 2023
概括
人工智能 (AI) 语言模型在医疗保健中为患者参与和临床支持提供了变革性的潜力. 伦理发展和严格的验证对于安全有效地实施这些先进的AI技术至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 医疗技术 医疗技术 医学技术
背景情况:
- 人工智能 (AI) 语言模型正在快速发展,在医疗保健领域显示出巨大的潜力.
- 这些模型展示了生成类似人文文本的能力,适用于患者参与和临床决策支持.
研究的目的:
- 引入一个新的部分,专门用于医疗保健中的AI语言模型.
- 建立一个平台,分享研究,见解和AI在医疗保健中的应用.
- 促进对人工智能在医疗保健中的道德,实践和监管挑战的关键参与.
主要方法:
- 这篇编辑引入了一个新的专用部分,用于"医疗保健中的AI语言模型".
- 该部分将作为学者,从业者和创新者的平台.
- 它旨在促进共享洞察力,研究成果和现实世界的应用.
主要成果:
- 人工智能语言模型在生成类似人类的文本方面表现出了非凡的实力,随着越来越多的研究和现实世界的应用.
- 潜在的应用包括增强患者参与和临床决策支持.
- 在确保可靠性,透明度和道德健全性方面仍然存在挑战.
结论:
- 人工智能语言模型的伦理设计,部署和使用对于实现其在医疗保健中的潜力至关重要.
- 需要进行全面的评估和严格的验证,以确保人工智能模型可靠,透明和道德合理.
- 一个协作社区对于在医疗保健中实现AI的复杂性至关重要.
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