AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology
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Abstract (arXiv)
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.
Key facts. Cited by 34 papers in the map (data through 14 Oct 2026). Builds on 21 of its 55 references that are in the map. First posted on arXiv 16 Jun 2023.
Builds on
21 of 55 references.
References · 21
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- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2023GPT-4 Technical Reportcited by 18,396
- 2022Training language models to follow instructions with human feedbackcited by 15,971
- 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
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- 2023Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Modelscited by 148
- 2021AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processingcited by 131
- 2023DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4cited by 130
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- 2016Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervisioncited by 103
- 2023On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligencecited by 88
- 2023When Brain-inspired AI Meets AGIcited by 54
- 2023Spear Phishing With Large Language Modelscited by 52
- 2023Differentiate ChatGPT-generated and Human-written Medical Textscited by 26
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- 2023AGI: Artificial General Intelligence for Educationcited by 7
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Citing papers per year: 2023: 16; 2024: 11; 2025: 6; 2026: 1.
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- 2024Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Modelcited by 1
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- 2023Holistic Evaluation of GPT-4V for Biomedical Imaging10 Nov 2023
- 2023Evaluating multiple large language models in pediatric ophthalmology7 Nov 2023
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- 2023Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models29 Sep 2023
- 2023RadOnc-GPT: A Large Language Model for Radiation Oncology18 Sep 2023
- 2023Radiology-Llama2: Best-in-Class Large Language Model for Radiology29 Aug 2023
- 2023Evaluating Large Language Models for Radiology Natural Language Processing25 Jul 2023
- 2023PharmacyGPT: The AI Pharmacist19 Jul 2023
- 2023GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT16 Jul 2023
- 2023Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification10 Jul 2023
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- 2024Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarioscited by 10
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- 2026AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study26 Mar 2026
- 2025MARFT: Multi-Agent Reinforcement Fine-Tuning21 Apr 2025
- 2025Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things1 Jan 2025
- 2024Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios16 Nov 2024
- 2024Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security10 Jan 2024
- 2024Revolutionizing Finance with LLMs: An Overview of Applications and Insightscited by 90
- 2023Review of Large Vision Models and Visual Prompt Engineeringcited by 77
- 2024Understanding LLMs: A Comprehensive Overview from Training to Inferencecited by 59
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- 2023GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPTcited by 41
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- 2023Segment Anything Model (SAM) for Radiation Oncologycited by 24
- 2024Large Language Models for Manufacturingcited by 24
- 2023Holistic Evaluation of GPT-4V for Biomedical Imagingcited by 19
- 2023RadOnc-GPT: A Large Language Model for Radiation Oncologycited by 18
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- 2024Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning1 Feb 2024
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- 2024Understanding LLMs: A Comprehensive Overview from Training to Inference4 Jan 2024
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