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Review
. 2023 Jun;23(6):351-362.
doi: 10.1007/s11882-023-01084-z. Epub 2023 May 9.

Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology

Derek MacMath  1 , Meng Chen  2 , Paneez Khoury  3
Affiliations
Review

Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology

Derek MacMath et al. Curr Allergy Asthma Rep. 2023 Jun.

Abstract

Purpose of review: Artificial intelligence (AI) has increasingly been used in healthcare. Given the capacity of AI to handle large data and complex relationships between variables, AI is well suited for applications in healthcare. Recently, AI has been applied to allergy research.

Recent findings: In this article, we review how AI technologies have been utilized in basic science and clinical allergy research for asthma, atopic dermatitis, rhinology, adverse reactions to drugs and vaccines, food allergy, anaphylaxis, urticaria, and eosinophilic gastrointestinal disorders. We discuss barriers for AI adoption to improve the care of patients with atopic diseases. These studies demonstrate the utility of applying AI to the field of allergy to help investigators expand their understanding of disease pathogenesis, improve diagnostic accuracy, enable prediction for treatments and outcomes, and for drug discovery.

Keywords: Algorithmic bias; Allergy; Artificial intelligence; Immunology; Machine learning; Neural network.

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Conflict of interest statement

Derek MacMath, Meng Chen, and Paneez Khoury declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Example applications and use cases of AI for allergy immunology. (created with Biorender)
Fig. 2
Fig. 2
Pillars of ethical AI delivery are shown. Requirements to prevent introduction of bias or harms for each pillar or stage of Ethical AI delivery are shown in boxes. (created with Biorender)
See this image and copyright information in PMC

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