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

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    AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology
    Pioneering Work on autonomous Agents in the Field of Medicine
    Average rating:
        Rated 4.5 of 5.
    Level of importance:
        Rated 5 of 5.
    Level of validity:
        Rated 3 of 5.
    Level of completeness:
        Rated 4 of 5.
    Level of comprehensibility:
        Rated 5 of 5.
    Competing interests:
    None

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

    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.
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      Review text

      In their article, Dai et al describe how the autonomous agent Auto-GPT can process various sources of information and produce several findings on the subject of Alzheimer's dementia.

      The article represents pioneering work because autonomous agents are a current development trend in the application of artificial intelligence. Autonomous processing makes it possible to handle the ever-increasing amount of medical information.

      The structure and function of the autonomous agent are presented in a clearly understandable manner. The results of the data analysis, based on various online texts, show what autonomous agents can be capable of in conjunction with LLM. The authors also address weaknesses and criticisms of this technology.

      It would be desirable to make the source code public so that this pioneering work can also be applied to other medical topics. It would also be of interest to see what further development steps the authors suggest for autonomous agents in the field of medicine.

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