AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology
This work addresses the need for automated analysis of health narratives in public health, specifically for Alzheimer's Disease, though it is incremental as it adapts existing AI methods to a new domain.
The study tackled the problem of analyzing complex health narratives for Alzheimer's Disease by developing AD-AutoGPT, an autonomous tool based on GPT-4, which collected and processed data from news sources to perform trend analyses and identify salient terms, yielding quantifiable metrics and insights into public discourse.
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.