{
  "abstract": "Neuroradiology data sets have significant potential for advancing neuroimaging research, yet identifying relevant and up-to-date resources remains challenging. NeuroAIHub is an artificial intelligence (AI)-driven framework designed to automate data set discovery, improve accessibility, and support structured exploration of neuroradiology data sets. A foundational database was constructed through a multireviewer extraction process with standardized metadata harmonization. To maintain and expand the registry, an AI-based updating workflow performs monthly Web searches, extracts structured metadata from heterogeneous sources using large language models, and submits candidate entries for developer validation before integration. A large language model-powered conversational agent enables natural language data set retrieval, analytical queries, and visualizations, while a structured Web interface supports reproducible filtering. NeuroAIHub currently hosts 180 data sets across 6 diagnostic domains and is available as a Web application (https://neuroai.streamlit.app/) and an open-source Python package (https://github.com/NeuroAIHub-Registry/NeuroAIHub; https://pypi.org/project/neuroaihub). The platform provides a continuously curated resource designed to improve reproducibility, transparency, and efficiency in neuroradiology data set discovery.",
  "abstract_shown": true,
  "affiliations": [
    "From the Mashhad University of Medical Sciences (B.G., M.V., D.E.), Mashhad, Iran",
    "Zumud (S.M.), Twickenham, London, UK",
    "Tehran University of Medical Sciences (S.S.), Tehran, Iran",
    "Research Center for Noncommunicable Diseases (M.A.B.), Jahrom University of Medical Sciences, Jahrom, Iran",
    "Department of Immunology (M.A.B.), Jahrom University of Medical Sciences, Jahrom, Iran",
    "Department of Medicine (O.I.A.), Shenyang Medical College, Liaoning, Shenyang, China",
    "Lorestan University of Medical Sciences (S.G.), Khorramabad, Iran",
    "Shahid Beheshti University of Medical Sciences (M.H.-F.), Tehran, Iran",
    "Radiology Informatics Lab (M.M., S.F.), Department of Radiology, Mayo Clinic, Rochester, Minnesota",
    "Department of Radiology (J.D.R.), University of California San Diego, San Diego, California",
    "Department of Radiology (J.D.R.), Scripps Clinic Medical Group, San Diego, California",
    "Department of Radiology (E.C.), Duke University Medical Center, Durham, North Carolina",
    "Department of Radiology and Neurosurgery (R.J.), NYU Grossman School of Medicine, New York, New York",
    "Department of Radiolog y (S.F.), University of Pennsylvania, Philadelphia, Pennsylvania"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 14,
  "authors": [
    {
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        0
      ],
      "name": "Benyamin Gheiji",
      "orcid": "0009-0006-8507-8975"
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    {
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        1
      ],
      "name": "Sina Moradi",
      "orcid": "0009-0009-6752-8014"
    },
    {
      "affs": [
        0
      ],
      "name": "Mahsa Vatanparast"
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    {
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      ],
      "name": "Sana Shokrani",
      "orcid": "0009-0003-2580-2173"
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    {
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        4
      ],
      "name": "Mohammad Aref Bagherzadeh"
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    {
      "affs": [
        0
      ],
      "name": "Danial Elyassirad"
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    {
      "affs": [
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      ],
      "name": "Oluwatobi Iyanuoluwa Akinmuleya"
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    {
      "affs": [
        6
      ],
      "name": "Sina Goodarzi"
    },
    {
      "affs": [
        7
      ],
      "name": "Mahsa Heidari-Foroozan"
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    {
      "affs": [
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      "name": "Mana Moassefi",
      "orcid": "0000-0002-0111-7791"
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    {
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        10
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      "name": "Jeffrey D. Rudie",
      "orcid": "0000-0001-8609-8421"
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    {
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      "name": "Evan Calabrese",
      "orcid": "0000-0002-1464-0354"
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    {
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        12
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      "name": "R. Jain"
    },
    {
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        8,
        13
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      "name": "Shahriar Faghani"
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  ],
  "bibtex": "https://research.draconitic.com/paper/dh46qcefp5819.bib",
  "cited_by": 0,
  "doi": "10.3174/ajnr.a9363",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13738321/",
  "id": "dh46qcefp5819",
  "issns": [
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    "1936-959X"
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  "landing_url": "https://doi.org/10.3174/ajnr.a9363",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Artificial Intelligence"
    ],
    [
      "heading",
      "Research"
    ],
    [
      "openalex",
      "1710|Research Data Management Practices"
    ]
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  "openalex": "W7155549564",
  "pdf_url": null,
  "pmcid": "PMC13738321",
  "pmid": "42031665",
  "published": "2026-11-06",
  "publisher": "American Society of Neuroradiology",
  "ris": "https://research.draconitic.com/paper/dh46qcefp5819.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T12:23:19Z",
      "native_id": "PMC13738321",
      "source": "pmc",
      "url": "https://doi.org/10.3174/ajnr.a9363"
    }
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  "subjects": [
    {
      "field": "medicine",
      "origin": "journal-openalex:F27",
      "subfield": "general"
    }
  ],
  "title": "NeuroAIHub: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Data Sets",
  "title_text": "NeuroAIHub: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Data Sets",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:23:19Z",
  "url": "https://research.draconitic.com/paper/dh46qcefp5819",
  "venue": "AJNR: American Journal of Neuroradiology",
  "versions": []
}