In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT which can conduct data collection, processing, and analysis about complex health narratives of Alzheimer's Disease in an autonomous manner via users' textual prompts. We collated comprehensive data from a variety of news sources, including the Alzheimer's Association, BBC, Mayo Clinic, and the National Institute on Aging since June 2022, leading to the autonomous execution of robust trend analyses, intertopic distance maps visualization, and identification of salient terms pertinent to Alzheimer's Disease. This approach has yielded not only a quantifiable metric of relevant discourse but also valuable insights into public focus on Alzheimer's Disease. This application of AD-AutoGPT in public health signifies the transformative potential of AI in facilitating a data-rich understanding of complex health narratives like Alzheimer's Disease in an autonomous manner, setting the groundwork for future AI-driven investigations in global health landscapes.

翻译：在这项开创性研究中，受基于GPT-4大型语言模型的最先进开源应用AutoGPT启发，我们开发了一种名为AD-AutoGPT的新型工具，可通过用户文本提示自主完成阿尔茨海默病复杂健康叙事的数据采集、处理与分析。我们自2022年6月起从阿尔茨海默病协会、英国广播公司、梅奥诊所及美国国家老龄化研究所等多源新闻渠道汇集了全面数据，据此自主执行了稳健趋势分析、主题间距离图可视化以及阿尔茨海默病相关显著术语的识别。该方法不仅生成了相关话语的量化指标，还揭示了公众对阿尔茨海默病关注的宝贵洞见。AD-AutoGPT在公共卫生领域的这一应用，彰显了人工智能在自主实现复杂健康叙事（如阿尔茨海默病）数据化理解方面的变革潜力，为未来全球健康格局中的人工智能驱动研究奠定了坚实基础。