AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology
Haixing Dai Yiwei Li Zhengliang Liu Lin Zhao Zihao Wu Suhang Song Ye Shen Dajiang Zhu Xiang Li Sheng Li Xiaobai Yao Lu Shi Quanzheng Li Zhuo Chen Donglan Zhang Gengchen Mai Tianming Liu
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.