{"title":"The Future of Allergy Management: How Artificial Intelligence Is Changing the Game.","authors":"Giovanna Cilluffo, Sakina Bajowala, Tania Elliott, Payel Gupta, Sofija Volertas, Giuliana Ferrante","doi":"10.1016/j.jaip.2025.08.033","DOIUrl":null,"url":null,"abstract":"<p><p>Allergy management is undergoing a transformative shift due to advancements in diagnostic tools, precision medicine, and digital health technologies. Artificial intelligence-driven predictive models enable more personalized and accurate diagnoses. Additionally, digital health solutions are enhancing patient monitoring and adherence to treatment protocols. The integration of these advances into clinical practice requires interdisciplinary collaboration and updated healthcare policies to ensure accessibility and affordability. While these innovations present promising opportunities, challenges such as data privacy, regulatory approval, and equitable healthcare distribution must be addressed. By embracing technological and scientific developments, the future of allergy management aims to improve patient outcomes, enhance quality of life, and reduce the overall burden of allergic diseases globally.</p>","PeriodicalId":51323,"journal":{"name":"Journal of Allergy and Clinical Immunology-In Practice","volume":" ","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Allergy and Clinical Immunology-In Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jaip.2025.08.033","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ALLERGY","Score":null,"Total":0}
引用次数: 0
Abstract
Allergy management is undergoing a transformative shift due to advancements in diagnostic tools, precision medicine, and digital health technologies. Artificial intelligence-driven predictive models enable more personalized and accurate diagnoses. Additionally, digital health solutions are enhancing patient monitoring and adherence to treatment protocols. The integration of these advances into clinical practice requires interdisciplinary collaboration and updated healthcare policies to ensure accessibility and affordability. While these innovations present promising opportunities, challenges such as data privacy, regulatory approval, and equitable healthcare distribution must be addressed. By embracing technological and scientific developments, the future of allergy management aims to improve patient outcomes, enhance quality of life, and reduce the overall burden of allergic diseases globally.
期刊介绍：
JACI: In Practice is an official publication of the American Academy of Allergy, Asthma & Immunology (AAAAI). It is a companion title to The Journal of Allergy and Clinical Immunology, and it aims to provide timely clinical papers, case reports, and management recommendations to clinical allergists and other physicians dealing with allergic and immunologic diseases in their practice. The mission of JACI: In Practice is to offer valid and impactful information that supports evidence-based clinical decisions in the diagnosis and management of asthma, allergies, immunologic conditions, and related diseases.
This journal publishes articles on various conditions treated by allergist-immunologists, including food allergy, respiratory disorders (such as asthma, rhinitis, nasal polyps, sinusitis, cough, ABPA, and hypersensitivity pneumonitis), drug allergy, insect sting allergy, anaphylaxis, dermatologic disorders (such as atopic dermatitis, contact dermatitis, urticaria, angioedema, and HAE), immunodeficiency, autoinflammatory syndromes, eosinophilic disorders, and mast cell disorders.
The focus of the journal is on providing cutting-edge clinical information that practitioners can use in their everyday practice or to acquire new knowledge and skills for the benefit of their patients. However, mechanistic or translational studies without immediate or near future clinical relevance, as well as animal studies, are not within the scope of the journal.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
