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Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology
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: I...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169188/ https://www.ncbi.nlm.nih.gov/pubmed/37160554 http://dx.doi.org/10.1007/s11882-023-01084-z |
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author | MacMath, Derek Chen, Meng Khoury, Paneez |
author_facet | MacMath, Derek Chen, Meng Khoury, Paneez |
author_sort | MacMath, Derek |
collection | PubMed |
description | 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. SUMMARY: 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. |
format | Online Article Text |
id | pubmed-10169188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101691882023-05-11 Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology MacMath, Derek Chen, Meng Khoury, Paneez Curr Allergy Asthma Rep Article 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. SUMMARY: 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. Springer US 2023-05-09 /pmc/articles/PMC10169188/ /pubmed/37160554 http://dx.doi.org/10.1007/s11882-023-01084-z Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article MacMath, Derek Chen, Meng Khoury, Paneez Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology |
title | Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology |
title_full | Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology |
title_fullStr | Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology |
title_full_unstemmed | Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology |
title_short | Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology |
title_sort | artificial intelligence: exploring the future of innovation in allergy immunology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169188/ https://www.ncbi.nlm.nih.gov/pubmed/37160554 http://dx.doi.org/10.1007/s11882-023-01084-z |
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