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.

中文翻译：

---

通过大型语言模型增强对老年人和痴呆症患者的护理：国家老龄化研究所的会议记录—人工智能与技术老龄化研究合作实验室研讨会


大型语言模型 （LLMs） 正处于重塑老龄化和痴呆护理领域的边缘，以其精准医疗和个体化治疗策略的能力挑战一刀切的范式。由国家老龄化研究所和约翰·霍普金斯人工智能与技术合作实验室为老龄化研究组织的“大型预训练模型与AD/ADRD和健康老龄化”研讨会，作为探索这种潜力的平台。研讨会汇集了不同的专家，讨论 LLMs 在老龄化和痴呆护理中的整合。他们强调了 LLMs 在临床决策支持和预测分析中可以发挥的作用，同时还解决了关键的道德问题，包括偏见、隐私和负责任地使用人工智能 （AI）。讨论的重点是在 AI 部署中平衡技术进步与道德考虑的必要性。总之，研讨会预测了 LLMs 不仅彻底改变医疗保健实践的未来，而且还带来了需要谨慎导航的重大挑战。