Digital twins represent one of the most prominent modern technological innovations in the fields of biomedical engineering and intelligent healthcare systems. This technology relies on creating a virtual model that accurately replicates a specific patient, a human organ, a medical device, or even the entire operational environment of a hospital. It enables the simulation of different conditions and scenarios and the analysis of their outcomes before implementing them in real-world settings, providing advanced scientific support for medical and operational decision-making and improving healthcare service efficiency. In clinical practice, the importance of digital twins lies in their ability to create virtual models of human organs based on medical and imaging data, allowing the simulation of how tissues and organs respond to different treatments and medical interventions. Surgeons can also benefit from these models when planning surgical procedures, testing potential surgical pathways and techniques, identifying anticipated risks, and selecting the most appropriate treatment strategies for each patient. This enhances the precision of medical interventions and contributes to reducing potential complications. At the healthcare management level, digital twin technology offers extensive capabilities for simulating hospital environments, analyzing patient flow, monitoring the performance of medical devices and equipment, and evaluating resource and energy consumption. These applications help healthcare administrators identify operational bottlenecks, optimize the allocation of resources and medical staff, predict future requirements, and improve preparedness for emergencies and increasing pressure on healthcare institutions. The effectiveness of this technology increases when integrated with artificial intelligence and the Internet of Things (IoT). Digital models can be connected to data collected from medical monitoring devices, sensors, and electronic healthcare systems. This enables continuous updates to simulations, real-time data analysis, and the generation of insights and recommendations that help healthcare professionals make more accurate decisions and respond effectively to changing clinical and operational conditions. Despite the significant potential offered by this technology, its implementation requires advanced digital infrastructure, accurate and reliable medical data, as well as robust information security and patient privacy protection measures. Continuous validation of digital models and simulation results is also essential to ensure their reliability. In conclusion, digital twin technology represents a significant step towards the future of intelligent healthcare by integrating real-world data, virtual simulation, and artificial intelligence-powered analysis. Implementing this technology in hospitals can enhance the quality of medical decisions, improve resource management efficiency, and support the transition towards smarter healthcare institutions with greater capabilities for prediction and response to clinical and operational challenges. Al-Mustaqbal University is the first one university in Iraq.