Chetan ShelkeKahtan A. MohammedV. RevathiT. PravalikaManish GuptaJoshuva Arockia Dhanraj2025-08-072025-08-072024-12-1997983693813599798369381373http://doi.org/10.4018/979-8-3693-8135-9.ch015https://gnanaganga.alliance.edu.in/handle/123456789/8502A revolutionary approach to guaranteeing the security and longevity of critical infrastructures is the utilization of AI and quantum networks for real-time structural health monitoring (SHM). Machine learning and deep learning are artificial intelligence techniques that facilitate the real-time analysis of enormous quantities of data produced by sensors that are integrated into buildings. Consequently, structural anomalies and malfunctions can be identified and predicted with unparalleled accuracy. Quantum networks substantially enhance the efficiency and security of Structural Health Monitoring (SHM) systems by guaranteeing a secure connection and offering unparalleled computational capabilities. We can create structural health monitoring frameworks that are more adaptable to dynamic conditions, such as those caused by deteriorating infrastructure and increasing urbanization, by combining quantum technologies with artificial intelligence.enAIQuantum NetworksHealth MonitoringMedicineReal-Time Structural Health Monitoringbook-chapter