Patients' diagnosis and treatment is a composite system comprising doctors, medical equipments, and patients with the aim of achieving personalized medicine goal at an optimized level. This kind of system can be regarded as a human–cyber–physical system (HCPS). Here we introduce the digital twin technology, with which we can construct a dynamic digital informational model that represents healthcare HCPS. The establishment of digital twins can be divided into four steps: data acquisition and processing, data modeling, simulation, and prediction analysis. These technologies are characterized by the in-depth integration of artificial intelligence (AI) technology with extended reality (XR) technology, which matches our TRS project well, developing the cutting-edge techniques related to medical intelligence and XR for facilitating “one-stop” medicine and healthcare services, covering screening, diagnosis, treatment, management, and prognosis.