{"title":"过敏与免疫学的未来:人工智能是数字化时代的关键吗?","authors":"Polat Goktas PhD , Ebru Damadoglu MD","doi":"10.1016/j.anai.2024.10.019","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial intelligence (AI) is reshaping allergy and immunology by integrating cutting-edge technology to enhance patient outcomes and redefine clinical practices and research. This review evaluates AI's evolving role, emphasizing its impact on diagnostic accuracy, personalized treatments, and innovative research methodologies. AI has advanced diagnostic tools, such as models predicting allergen sensitivity, and enhanced immunotherapy strategies. Its ability to process extensive data sets has enabled deeper understanding of allergic diseases and immune system responses, leading to more accurate, effective, and tailored treatments. Furthermore, AI is facilitating personalized care through AI-driven allergen mapping, automated patient monitoring, and targeted immunotherapy. The integration of AI into clinical practice promises a future in which allergy and immunology are characterized by precisely customized health care solutions. This review adheres to Preferred Reporting Items for Systematic reviews and Meta-Analyses flowchart, with a comprehensive analysis of databases, including Scopus, Web of Science, PubMed, and preprint platforms using keywords related to AI and allergy and immunology. From an initial pool of 192 studies, 20 documents were selected based on inclusion criteria. Our findings highlight how AI is transforming allergy and immunology by enhancing patient care, research methodologies, and clinical innovation, offering a glimpse into the near future of technology-driven health care in these fields.</div></div>","PeriodicalId":50773,"journal":{"name":"Annals of Allergy Asthma & Immunology","volume":"134 4","pages":"Pages 396-407.e2"},"PeriodicalIF":5.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Future of allergy and immunology\",\"authors\":\"Polat Goktas PhD , Ebru Damadoglu MD\",\"doi\":\"10.1016/j.anai.2024.10.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Artificial intelligence (AI) is reshaping allergy and immunology by integrating cutting-edge technology to enhance patient outcomes and redefine clinical practices and research. This review evaluates AI's evolving role, emphasizing its impact on diagnostic accuracy, personalized treatments, and innovative research methodologies. AI has advanced diagnostic tools, such as models predicting allergen sensitivity, and enhanced immunotherapy strategies. Its ability to process extensive data sets has enabled deeper understanding of allergic diseases and immune system responses, leading to more accurate, effective, and tailored treatments. Furthermore, AI is facilitating personalized care through AI-driven allergen mapping, automated patient monitoring, and targeted immunotherapy. The integration of AI into clinical practice promises a future in which allergy and immunology are characterized by precisely customized health care solutions. This review adheres to Preferred Reporting Items for Systematic reviews and Meta-Analyses flowchart, with a comprehensive analysis of databases, including Scopus, Web of Science, PubMed, and preprint platforms using keywords related to AI and allergy and immunology. From an initial pool of 192 studies, 20 documents were selected based on inclusion criteria. Our findings highlight how AI is transforming allergy and immunology by enhancing patient care, research methodologies, and clinical innovation, offering a glimpse into the near future of technology-driven health care in these fields.</div></div>\",\"PeriodicalId\":50773,\"journal\":{\"name\":\"Annals of Allergy Asthma & Immunology\",\"volume\":\"134 4\",\"pages\":\"Pages 396-407.e2\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Allergy Asthma & Immunology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1081120624015953\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ALLERGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Allergy Asthma & Immunology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1081120624015953","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ALLERGY","Score":null,"Total":0}
Artificial intelligence (AI) is reshaping allergy and immunology by integrating cutting-edge technology to enhance patient outcomes and redefine clinical practices and research. This review evaluates AI's evolving role, emphasizing its impact on diagnostic accuracy, personalized treatments, and innovative research methodologies. AI has advanced diagnostic tools, such as models predicting allergen sensitivity, and enhanced immunotherapy strategies. Its ability to process extensive data sets has enabled deeper understanding of allergic diseases and immune system responses, leading to more accurate, effective, and tailored treatments. Furthermore, AI is facilitating personalized care through AI-driven allergen mapping, automated patient monitoring, and targeted immunotherapy. The integration of AI into clinical practice promises a future in which allergy and immunology are characterized by precisely customized health care solutions. This review adheres to Preferred Reporting Items for Systematic reviews and Meta-Analyses flowchart, with a comprehensive analysis of databases, including Scopus, Web of Science, PubMed, and preprint platforms using keywords related to AI and allergy and immunology. From an initial pool of 192 studies, 20 documents were selected based on inclusion criteria. Our findings highlight how AI is transforming allergy and immunology by enhancing patient care, research methodologies, and clinical innovation, offering a glimpse into the near future of technology-driven health care in these fields.
期刊介绍:
Annals of Allergy, Asthma & Immunology is a scholarly medical journal published monthly by the American College of Allergy, Asthma & Immunology. The purpose of Annals is to serve as an objective evidence-based forum for the allergy/immunology specialist to keep up to date on current clinical science (both research and practice-based) in the fields of allergy, asthma, and immunology. The emphasis of the journal will be to provide clinical and research information that is readily applicable to both the clinician and the researcher. Each issue of the Annals shall also provide opportunities to participate in accredited continuing medical education activities to enhance overall clinical proficiency.