TY - JOUR
T1 - AD-AutoGPT
T2 - An autonomous GPT for Alzheimer's disease infodemiology
AU - Dai, Haixing
AU - Li, Yiwei
AU - Liu, Zhengliang
AU - Zhao, Lin
AU - Wu, Zihao
AU - Song, Suhang
AU - Ye, Shen
AU - Zhu, Dajiang
AU - Li, Xiang
AU - Li, Sheng
AU - Yao, Xiaobai
AU - Shi, Lu
AU - Peng, Tai Quan
AU - Li, Quanzheng
AU - Chen, Zhuo
AU - Zhang, Donglan
AU - Liu, Tianming
AU - Mai, Gengchen
N1 - Publisher Copyright:
© 2025 Dai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2025/5
Y1 - 2025/5
N2 - 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 map 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. Code, a demo video, and other information are available at https://github.com/levyisthebest/AD-AutoGPT.
AB - 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 map 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. Code, a demo video, and other information are available at https://github.com/levyisthebest/AD-AutoGPT.
UR - http://www.scopus.com/inward/record.url?scp=105004926101&partnerID=8YFLogxK
U2 - 10.1371/journal.pgph.0004383
DO - 10.1371/journal.pgph.0004383
M3 - Article
AN - SCOPUS:105004926101
SN - 2767-3375
VL - 5
JO - PLOS Global Public Health
JF - PLOS Global Public Health
IS - 5 May
M1 - e0004383
ER -
