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arXiv 2311.14730cs.CLcs.AIcs.HCcs.LG

MemoryCompanion:通过释放生成式AI潜能以赋能高效阿尔茨海默病护理的智能医疗解决方案

MemoryCompanion: A Smart Healthcare Solution to Empower Efficient Alzheimer's Care Via Unleashing Generative AI

New York University Abu Dhabi(纽约大学阿布扎比分校)

Lifei Zheng, Yeonie Heo, Yi Fang

AI总结:

本文提出针对阿尔茨海默病护理的数字医疗解决方案MemoryCompanion,结合GPT、提示工程、语音克隆与说话人面孔技术,实现个性化交互以缓解患者孤独感并解决相关护理与技术挑战。

摘要:

随着大型语言模型(LLMs)的兴起,尤其是以GPT框架为显著特征,催生了新型医疗应用的催化剂。早期的聊天机器人护理人员虽然存在,但尚未达到类似人类真实性的维度。本文推出了“MemoryCompanion”,这是一种明确为阿尔茨海默病(AD)患者及其护理人员量身定制的开创性数字医疗解决方案。借助GPT技术和提示工程的细微之处,MemoryCompanion展现了一种个性化的护理范式,通过语音克隆和说话人面孔机制促进互动,与已知同伴的熟悉感产生共鸣。利用先进的提示工程,该系统精细地适应每位患者的独特特征,相应地策划其内容和沟通风格。这种方法旨在缓解AD人群中普遍存在的社会孤立和孤独感等常见问题。我们的方法以其创新设计为基础,解决了该领域固有的护理和技术挑战。

英文摘要:

With the rise of Large Language Models (LLMs), notably characterized by GPT frameworks, there emerges a catalyst for novel healthcare applications. Earlier iterations of chatbot caregivers, though existent, have yet to achieve a dimension of human-like authenticity. This paper unveils `MemoryCompanion' a pioneering digital health solution explicitly tailored for Alzheimer's disease (AD) patients and their caregivers. Drawing upon the nuances of GPT technology and prompt engineering, MemoryCompanion manifests a personalized caregiving paradigm, fostering interactions via voice-cloning and talking-face mechanisms that resonate with the familiarity of known companions. Using advanced prompt-engineering, the system intricately adapts to each patient's distinct profile, curating its content and communication style accordingly. This approach strives to counteract prevalent issues of social isolation and loneliness frequently observed in AD demographics. Our methodology, grounded in its innovative design, addresses both the caregiving and technological challenges intrinsic to this domain.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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