Siemens Healthineers' groundbreaking minimally invasive tool for critical illness diagnosis and treatment, the ARTIS icono ceiling Xpand, will make its debut in Asia during the 2025 CIIE. This system has achieved revolutionary breakthroughs in image acquisition speed, imaging clarity, spatial expansion capability, and artificial intelligence applications with cutting-edge technology, leading China's diagnosis and treatment of critical illnesses into a new era of precision, refinement, and speed.
Siemens Healthineers ARTIS icono ceiling Xpand breaks through the limitations of traditional equipment through technological innovation in the treatment of critical illnesses, empowering precision diagnosis and surgical efficiency in all aspects. In the treatment of neurological, cardiac, tumor, and vascular diseases, with the unique OPTIQ energy spectrum imaging technology, we bid farewell to the traditional "one size fits all" noise reduction imaging mode and the limitations of not being able to provide targeted imaging. We can intelligently adjust the optimal X-ray energy spectrum based on the differential absorption characteristics of X-rays by different implanted consumables and tissues, significantly reducing radiation dose while improving image contrast and clarity, allowing "hard to see" lesions and details to appear clearly, empowering personalized precision treatment.
Pioneering carbon dioxide targeted imaging, assisting zero iodine contrast agent green intervention surgery, allowing high-risk patients who cannot undergo interventional treatment due to kidney injury to regain the opportunity for minimally invasive treatment. For intraoperative CT evaluation of chest, abdominal, and pelvic diseases, in order to avoid the obstruction of lesions by bony structures, traditional vascular imaging systems often require doctors to manually remove bones in 2 minutes. The ARTIS icono ceiling Xpand achieves 15 second AI one click intelligent bone removal, highlighting lesion targets with just one click, significantly reducing operation time and increasing surgical efficiency by 8 times.
