This PRACTALL consensus document from AAAAI and EAACI evaluates the current and emerging applications of artificial intelligence (AI) — including large language models (LLMs), natural language processing (NLP), and ambient listening technologies — in allergy and immunology clinical practice, education, and research.
AI tools show promise across clinical documentation, patient portal messaging, EHR data conversion, disease screening, and personalized treatment support; notably, 1 in 6 adults (rising to ~1 in 4 among those under 30) already source health information from AI, underscoring the urgency of accuracy and safety standards.
This is a consensus/expert opinion document without original clinical trial data, so no comparative efficacy or safety outcomes are reported. The generalizability of AI tools across diverse health systems and patient populations is not empirically assessed.
Allergist-immunologists should proactively learn AI tool capabilities and limitations — particularly around bias and accuracy — as these technologies increasingly shape patient education, clinical workflows, and documentation. Ensuring AI-generated health information is reliable is a patient safety priority, especially for younger patients who use it most.
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