Artificial intelligence is being explored for its potential to improve clinical decision support systems, with applications in various areas, including pediatric allergy and primary care. Research and development are underway to create and refine ai-powered clinical decision support tools, with some studies examining their effectiveness in real-world settings. However, the effectiveness of these systems in actual clinical practice is still being evaluated, with some trials revealing gaps between their potential and real-world performance.