PRACTALL 2025: Artificial intelligence-application of allergy and immunology to patient care.

Authors

Mohamed M Shamji, Nicholas L Rider, Ian Adcock, Thanai Pongdee, Stefano Del Giacco, Christopher Chang, Maria Jose Torres Jaén, Paul V Williams

Published in

The Journal of allergy and clinical immunology. Jul 27, 2026. Epub Jul 27, 2026.

Abstract

Artificial intelligence (AI), first defined in 1955 by John McCarthy, has transformed daily life across industries through applications such as chatbots, autonomous vehicles, and navigation systems. The 2022 release of ChatGPT marked a pivotal moment, highlighting AI's rapidly expanding potential. The health care industry is increasingly embracing AI-enabled tools across oncology, pathology, and radiology to augment disease screening and clinical workflows. Ambient listening technologies support clinical documentation, reduce administrative burden, and improve patient-physician interactions. Large language models combined with natural language processing are being evaluated for generating clinical summaries managing patient portal messaging and converting freehand notes to electronic health records, while also uncovering patterns in patient data to support more personalized treatments. Forward-thinking health systems are establishing informatics departments to optimize these models. Notably, with 1 in 6 adults sourcing health information from AI, rising to nearly one-quarter among individuals younger than 30 years, there is a growing need to ensure that these technologies provide accurate and reliable information to safeguard patient safety and support appropriate clinical use. PRACTALL, a collaboration between the American Academy of Allergy, Asthma & Immunology and the European Academy of Allergy & Clinical Immunology, aims to equip allergist-immunologists with essential AI insights highlighting tools for clinical practice, education, and research. By addressing potential pitfalls and biases, PRACTALL illustrates how AI can enhance efficiency, improve patient care, and alleviate administrative burdens in health care.

PMID:
42517843
Bibliographic data and abstract were imported from PubMed on 28 Jul 2026.

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