Goktas Polat, Damadoglu Ebru
School of Computer Science, University College Dublin, Belfield, Country Dublin, Ireland.
Division of Allergy and Clinical Immunology, Department of Chest Diseases, School of Medicine, Hacettepe University, Ankara, Turkey.
Ann Allergy Asthma Immunol. 2025 Apr;134(4):396-407.e2. doi: 10.1016/j.anai.2024.10.019. Epub 2024 Oct 18.
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.
人工智能（AI）正在通过整合前沿技术重塑过敏和免疫学，以改善患者预后，并重新定义临床实践和研究。本综述评估了人工智能不断演变的作用，强调了其对诊断准确性、个性化治疗和创新研究方法的影响。人工智能改进了诊断工具，如预测过敏原敏感性的模型，并增强了免疫治疗策略。其处理大量数据集的能力使人们能够更深入地了解过敏性疾病和免疫系统反应，从而实现更准确、有效和个性化的治疗。此外，人工智能正在通过人工智能驱动的过敏原图谱绘制、自动患者监测和靶向免疫治疗来促进个性化医疗。将人工智能整合到临床实践中有望开创一个未来，在这个未来中，过敏和免疫学的特点是提供精确定制的医疗保健解决方案。本综述遵循系统评价和Meta分析的首选报告项目流程图，对数据库进行了全面分析，包括使用与人工智能以及过敏和免疫学相关的关键词在Scopus、科学网、PubMed和预印本平台上进行检索。从最初的192项研究中，根据纳入标准选择了20篇文献。我们的研究结果突出了人工智能如何通过改善患者护理、研究方法和临床创新来改变过敏和免疫学，让我们得以一窥这些领域中技术驱动型医疗保健的近期未来。
