Future of allergy and immunology: Is artificial intelligence the key in the digital era?

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.