Suppr超能文献

利用大型语言模型提升对老年人群和痴呆患者的护理:美国国家老龄化研究所-人工智能与老龄化研究合作研讨会论文集。

Enhancing Care for Older Adults and Dementia Patients With Large Language Models: Proceedings of the National Institute on Aging-Artificial Intelligence & Technology Collaboratory for Aging Research Symposium.

机构信息

Johns Hopkins Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

出版信息

J Gerontol A Biol Sci Med Sci. 2024 Sep 1;79(9). doi: 10.1093/gerona/glae176.

Abstract

Large Language Models (LLMs) stand on the brink of reshaping the field of aging and dementia care, challenging the one-size-fits-all paradigm with their capacity for precision medicine and individualized treatment strategies. The "Large Pre-Trained Models with a Focus on AD/ADRD and Healthy Aging" symposium, organized by the National Institute on Aging and the Johns Hopkins Artificial Intelligence & Technology Collaboratory for Aging Research, served as a platform for exploring this potential. The symposium brought together diverse experts to discuss the integration of LLMs in aging and dementia care. They highlighted the roles LLMs can play in clinical decision support and predictive analytics, while also addressing critical ethical concerns including bias, privacy, and the responsible use of artificial intelligence (AI). The discussions focused on the need to balance technological advancement with ethical considerations in AI deployment. In conclusion, the symposium projected a future where LLMs not only revolutionize healthcare practices but also pose significant challenges that require careful navigation.

摘要

大型语言模型(LLMs)有望彻底改变衰老和痴呆症护理领域,凭借其精准医学和个体化治疗策略的能力,挑战传统的一刀切模式。由美国国家老龄化研究所和约翰霍普金斯人工智能与技术老龄化研究合作组织联合举办的“专注于 AD/ADRD 和健康老龄化的大型预训练模型”研讨会,为探索这一潜力提供了平台。该研讨会汇集了来自不同领域的专家,讨论了将大型语言模型应用于衰老和痴呆症护理的相关问题。专家们强调了大型语言模型在临床决策支持和预测分析方面的作用,同时也解决了包括偏见、隐私和人工智能(AI)负责任使用在内的关键伦理问题。讨论集中在需要在人工智能部署中平衡技术进步与伦理考虑。总之,该研讨会预测了一个未来,大型语言模型不仅将彻底改变医疗保健实践,而且还将带来重大挑战,需要谨慎应对。

相似文献

本文引用的文献

4
Large language models encode clinical knowledge.大语言模型编码临床知识。
Nature. 2023 Aug;620(7972):172-180. doi: 10.1038/s41586-023-06291-2. Epub 2023 Jul 12.
7
2023 Alzheimer's disease facts and figures.2023 年阿尔茨海默病事实和数据。
Alzheimers Dement. 2023 Apr;19(4):1598-1695. doi: 10.1002/alz.13016. Epub 2023 Mar 14.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验