Preparing Allergists to Practice in 2050 Using AI.

Abstract

As artificial intelligence (AI) becomes deeply embedded in clinical practice, the field of allergy and immunology is poised for transformation by 2050. AI is expected to evolve from a decision-support tool to a collaborative partner in diagnostics, treatment personalization, and medical education. Allergy training programs will need to prepare fellows for a technologically advanced landscape by integrating AI literacy, data science, and virtual simulation into curricula. Fellowship programs will need to adopt adaptive learning platforms, high-fidelity simulations, and AI-powered clinical decision support to improve diagnostic acumen, procedural competency, and patient care. This evolution also demands attention to the ethical and legal challenges of AI implementation, including preserving patient autonomy, addressing algorithmic bias, and safeguarding data privacy. Fellows must develop skills to critically evaluate AI outputs and uphold transparent, human-centered care. AI will probably also reshape research practices through predictive analytics, digital twins, and automated trial matching, accelerating discovery in allergic and immunologic disease. Despite these advances, limitations such as the "black box" problem, lack of emotional intelligence, and misinformed patient self-diagnoses pose challenges. Clinicians will require new communication strategies, including brief cognitive behavioral interventions, to address AI-derived misconceptions and maintain trust. Rather than replacing allergists, AI is likely to expand their roles; freeing time for patient interaction while reinforcing their responsibility as interpreters, educators, and ethical stewards of digital tools. This review explores how graduate medical education and clinical practice in allergy and immunology must evolve to ensure that future allergists remain competent, compassionate, and technologically fluent in a dynamic AI-enhanced healthcare environment.