GE HealthCare’s Omni Legend encourages the adoption of innovative imaging technologies to help advance precision care
The Waukesha-based Omni Legend manufacturing line will produce and deliver GE HealthCare’s latest positron emission tomography / computed tomography (PET/CT) technology to healthcare systems and clinicians throughout the United States and Canada for sensitive, high-resolution imaging that helps promote early diagnosis and precision monitoring of therapeutic responses for optimized patient treatment planning
PET/CT represents a valuable imaging solution used broadly for diagnosis, staging, therapeutic planning and treatment response assessment that integrates digital processing with artificial intelligence (AI) to provide valuable insights that inform clinical decision-making, helping drive better outcomes for patients
WAUKESHA, Wisconsin — Today, GE HealthCare is proud to announce that its 100 th Omni Legend digital PET/CT installation in the United States and Canada will take place “up the road” at the newly completed UW Health Eastpark Medical Center in Madison. Additionally, less than a year after joining the Wisconsin BioHealth Tech Hub, GE HealthCare is advancing its mission to strengthen the region’s personalized medicine innovation and manufacturing ecosystem with the first North American production line for the system in Waukesha, Wisconsin.
A uniquely scalable solution, Omni Legend is designed to evolve and help meet growing healthcare system demands across care areas, including striking image quality in oncology, an ability to accommodate the anticipated increase in PET amyloid imaging volume related to Alzheimer’s diagnosis in neurology, and impressive imaging of a variety of cardiac tracers, including fast decay tracers and new tracers in cardiology.
Medical imaging is a crucial tool for diagnosing disease, identifying a course of treatment, and determining whether therapy is successful for millions of patients in the U.S., Canada, and around the world. Image quality matters — to the clinician and the patient — making the difference between finding a small lesion early or in its later stages, potentially affecting patient outcomes and disease management. For this reason, clinicians are increasingly adopting imaging and AI-based solutions for enhanced image quality compared to that of standard care.
With the evolution of medical research, particularly in oncology and neurology, early diagnosis and treatment […]
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