{
  "abstract": "Background\n\nArtificial intelligence (AI) is rapidly advancing in medicine, yet its translation into clinical and research practice in allergology remains limited. Given the heterogeneity of allergic diseases and the complexity of integrating clinical, environmental, and molecular data, a structured assessment is required. This first part of a joint position paper, developed by German allergology societies and associations under the leadership of the DGAKI, aims to establish a conceptual and clinical foundation for AI in allergology.Materials and methods\n\nThe Position Paper is based on a targeted narrative literature review and structured expert consensus. Development was informed by AGREE II principles. Part I comprises Chapters 1 - 4, covering introduction, methodology, AI taxonomy, and selected early application domains.Results\n\nAI is conceptualized as an augmentative tool supporting clinical reasoning and individualized decision-making. The paper distinguishes classical statistical approaches from machine learning, deep learning, vision models, and large language models, emphasizing their complementary roles. Key applications include environmental analytics (e.g., automated pollen monitoring and forecasting), image-based classification systems, clinical decision support for diagnostics and therapy, and emerging patient-facing tools. Across these domains, AI may improve diagnostic precision and enable integration of heterogeneous data. Limitations include restricted generalizability, bias, limited explainability, and regulatory and data protection challenges.Conclusion\n\nThe role of AI in allergology is defined, its methodological basis is outlined, and initial application domains are highlighted. Together, these elements provide a framework for evidence-based and patient-oriented integration, requiring human oversight, robust scientific validation, and regulatory alignment.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Otorhinolaryngology, Head and Neck Surgery, Section of Rhinology and Allergy, University Hospital Marburg, Philipps-Universität Marburg, Marburg.",
    "Contributed equally as first authors.",
    "Department of Dermatology and Allergy, Medizinische Hochschule Hannover, Hanover.",
    "Center for Rhinology and Allergology, Wiesbaden.",
    "Department of Otorhinolaryngology, Head and Neck Surgery, University of Tübingen.",
    "Hals-Nasen-Ohrenheilkunde, interdisziplinäre Facharztklinik, Düsseldorf.",
    "Center of Allergy & Environment (ZAUM), Member of the German Center for Lung Research (DZL), Technical University and Helmholtz Center, Munich.",
    "Department of Pediatric Respiratory Care, Immunology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin.",
    "Allergology and Immunology, Department of Dermatology, Venereology and Allergology, Charité-Universitätsmedizin, Berlin.",
    "Pediatric Pulmonology and Allergology, University Hospital Augsburg, Augsburg.",
    "Children's Center Bethel, University Hospital OWL, University Bielefeld, Bielefeld.",
    "Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin.",
    "Department of Pediatrics, GFO-Kliniken Bonn, St. Marien-Hospital, Bonn.",
    "Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin.",
    "Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin.",
    "Pediatric Dermatology and Allergology, Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover.",
    "Kinderarztpraxis Hirschberg, Hirschberg.",
    "Department of Otorhinolaryngology, Düsseldorf University Hospital, Düsseldorf.",
    "Kinderarztpraxis Dr. med. Mehrak Yoosefi, Berlin.",
    "Department of Dermatology and Allergology, TUM Clinic Rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, and.",
    "Contributed equally as last authors.",
    "Department of Respiratory Medicine, Allergology and Sleep Medicine, General Hospital Nuremberg, Campus North, Paracelsus Medical University, Nuremberg, Germany."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 22,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Oliver Pfaar"
    },
    {
      "affs": [
        2,
        1
      ],
      "name": "Stephan Traidl"
    },
    {
      "affs": [
        3
      ],
      "name": "Friederike Bärhold"
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    {
      "affs": [
        4
      ],
      "name": "Sven Becker"
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    {
      "affs": [
        5
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      "name": "Christoph Bergmann"
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        6
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      "name": "Jeroen Buters"
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    {
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        7
      ],
      "name": "Stephanie Dramburg"
    },
    {
      "affs": [
        8
      ],
      "name": "Wojciech Francuzik"
    },
    {
      "affs": [
        9
      ],
      "name": "Michael Gerstlauer"
    },
    {
      "affs": [
        10
      ],
      "name": "Eckard Hamelmann"
    },
    {
      "affs": [
        7,
        11
      ],
      "name": "Camilo José Hernandez Toro"
    },
    {
      "affs": [
        3
      ],
      "name": "Ludger Klimek"
    },
    {
      "affs": [
        12
      ],
      "name": "Lars Lange"
    },
    {
      "affs": [
        7,
        13,
        14
      ],
      "name": "Paolo M Matricardi"
    },
    {
      "affs": [
        15
      ],
      "name": "Laura Pfeffer"
    },
    {
      "affs": [
        6
      ],
      "name": "Mariel Suarez-Suarez"
    },
    {
      "affs": [
        16
      ],
      "name": "Philipp Utz"
    },
    {
      "affs": [
        17
      ],
      "name": "Martin Wagenmann"
    },
    {
      "affs": [
        8
      ],
      "name": "Margitta Worm"
    },
    {
      "affs": [
        18
      ],
      "name": "Mehrak Yoosefi"
    },
    {
      "affs": [
        19,
        20
      ],
      "name": "Sonja Mathes"
    },
    {
      "affs": [
        21,
        20
      ],
      "name": "Sebastian Seurig"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/48714cavq16ka.bib",
  "cited_by": 0,
  "doi": "10.5414/alx02643e",
  "fulltext_url": "https://europepmc.org/articles/PMC13750059",
  "id": "48714cavq16ka",
  "issns": [
    "2512-8957"
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  "landing_url": "https://europepmc.org/article/MED/43011820",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
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  "openalex": "W7221554372",
  "pdf_url": "https://europepmc.org/articles/PMC13750059?pdf=render",
  "pmcid": "PMC13750059",
  "pmid": "43011820",
  "published": "2026-10-12",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/48714cavq16ka.ris",
  "sources": [
    {
      "first_seen": "2026-11-12T15:25:13Z",
      "native_id": "MED:43011820",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/43011820"
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Artificial intelligence in allergology: A Position Paper of the German Society of Allergology and Clinical Immunology (DGAKI), German Academy of Allergy, Clinical Immunology and Environmental Medicine (AeDA) and German Society of Pediatric Allergology and Environmental Medicine (GPA): Part 1.",
  "title_text": "Artificial intelligence in allergology: A Position Paper of the German Society of Allergology and Clinical Immunology (DGAKI), German Academy of Allergy, Clinical Immunology and Environmental Medicine (AeDA) and German Society of Pediatric Allergology and Environmental Medicine (GPA): Part 1.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-13T03:21:10Z",
  "url": "https://research.draconitic.com/paper/48714cavq16ka",
  "venue": "Allergologie select",
  "versions": []
}