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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。

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本文引用的文献

1
Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care.
Alzheimers Dement. 2024 Apr;20(4):3074-3079. doi: 10.1002/alz.13710. Epub 2024 Feb 7.
2
Artificial Intelligence in Geriatrics: Riding the Inevitable Tide of Promise, Challenges, and Considerations.
J Gerontol A Biol Sci Med Sci. 2024 Feb 1;79(2). doi: 10.1093/gerona/glad279.
4
Large language models encode clinical knowledge.
Nature. 2023 Aug;620(7972):172-180. doi: 10.1038/s41586-023-06291-2. Epub 2023 Jul 12.
5
The promise of AI and technology to improve quality of life and care for older adults.
Nat Aging. 2023 Jun;3(6):629-631. doi: 10.1038/s43587-023-00430-0.
7
2023 Alzheimer's disease facts and figures.
Alzheimers Dement. 2023 Apr;19(4):1598-1695. doi: 10.1002/alz.13016. Epub 2023 Mar 14.
8
Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia.
J Am Geriatr Soc. 2020 Jan;68(1):103-111. doi: 10.1111/jgs.16182. Epub 2019 Oct 14.
9
BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
Bioinformatics. 2020 Feb 15;36(4):1234-1240. doi: 10.1093/bioinformatics/btz682.
10
MIMIC-III, a freely accessible critical care database.
Sci Data. 2016 May 24;3:160035. doi: 10.1038/sdata.2016.35.

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