The role of artificial intelligence in the diagnosis of acute respiratory viral infections in children

Acute respiratory viral infections (ARVIs) represent the most common group of infectious diseases in childhood and remain a significant public health concern. Conventional diagnostic approaches in pediatric practice are often limited by nonspecific clinical manifestations and agerelated features of disease presentation. In recent years, artificial intelligence (AI) technologies have been increasingly introduced into clinical medicine, including pediatrics. This review summarizes current applications of AI in the diagnosis of ARVIs in children, focusing on the analysis of clinical and laboratory data, medical imaging, and acoustic features of respiratory sounds. The advantages, limitations, and future prospects of AI-based diagnostic systems in pediatric healthcare are discussed.