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Pfaar, O.* ; Traidl, S.* ; Bärhold, F.* ; Becker, S.* ; Bergmann, C.* ; Buters, J.T.M. ; Dramburg, S.* ; Francuzik, W.* ; Gerstlauer, M.* ; Hamelmann, E.* ; Hernandez Toro, C.J.* ; Klimek, L.* ; Lange, L.* ; Matricardi, P.M.* ; Pfeffer, L.* ; Suarez-Suarez, M.* ; Utz, P.* ; Wagenmann, M.* ; Worm, M.* ; Yoosefi, M.* ; Mathes, S.* ; Seurig, S.*

Artificial intelligence in allergology: A Position Paper of the German Society of Allergology and Clinical Immunology (DGAKI), Ärzteverband Deutscher Allergologen (AeDA) and German Society of Pediatric Allergology and Environmental Medicine (GPA): Part 2.

Allergologie 49, 553-569 (2026)
DOI
Background: Although artificial intelligence (AI) is advancing in medicine, its use in allergology remains limited. Because allergic diseases are heterogeneous and clinical, environmental, and molecular data are difficult to integrate, thorough assessment is needed. This second part of a position paper by German allergology societies and associations, led by the German Society of Allergy and Clinical Immunology (DGAKI), establishes a framework for AI in allergology. Materials and methods: The position paper is based on a narrative review and structured expert consensus and was developed according to AGREE II principles. Part 2 comprises chapters 5 - 8, covering legal frameworks, ethical aspects, guiding principles for AI use, trends, and unmet needs. Results: AI use in allergology is regulated by the EU AI Act in the EU. Most clinical applications are classified as high-risk systems requiring strict safety, transparency, and governance standards. Physicians remain responsible for deployment, with mandatory human oversight and integration of AI-related risks into quality management and patient communication. AI raises ethical challenges beyond technical and regulatory considerations. As no broadly accepted framework exists, core biomedical and AI ethics should guide evaluation. At the same time, AI may improve access through teleconsultations, support shared decision-making, and enable more patient-centered care by reducing documentation and triage workload. AI is expected to play a pivotal role in future allergology practice and research. Conclusion: Together with Part 1, this paper defines AI's role, outlines methodological foundations, highlights initial applications, and provides a framework for evidence-based, patient-oriented integration requiring human oversight, scientific validation, and regulatory alignment.
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Publication type Article: Journal article
Document type Position paper
Keywords Allergology ; Artificial Intelligence ; Cdss ; Environmental Analytics ; Immunology ; Machine Learning ; Patient Education
ISSN (print) / ISBN 0344-5062
e-ISSN 0344-5062
Journal Allergologie
Quellenangaben Volume: 49, Issue: 10, Pages: 553-569 Article Number: , Supplement: ,
Publisher Dustri
Reviewing status Peer reviewed
Institute(s) Institute of Allergy Research (IAF)