pith. sign in

arxiv: 2306.10095 · v1 · pith:GE6SDMD3new · submitted 2023-06-16 · 💻 cs.CL · cs.AI· cs.IR

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology

classification 💻 cs.CL cs.AIcs.IR
keywords alzheimerdiseaseautonomoushealthad-autogptapplicationcomplexdata
0
0 comments X
read the original abstract

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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research

    cs.CL 2024-11 unverdicted novelty 2.0

    This survey paper identifies opportunities for LLMs in low-resource language humanities research along with challenges in data accessibility, model adaptability, and cultural sensitivity.