5 Key Trends in Ultrasound Systems
Recent advances in ultrasound image systems include AI, automation, POCUS and development of therapeutic systems
GE Healthcare introduced its artificial intelligence (AI) automation features on its Voluson Swift ultrasound platform at the 2020 Radiological Society of North America (RSNA) virtual meeting. Features of this system include semi-automated contouring, auto identification of fetal anatomy and positioning on imaging. AI is seeing increasing integration in ultrasound systems from numerous vendors.
Recent advances in ultrasound image systems seen over the past year include the integration of artificial intelligence (AI), automation of functions and measurements, introduction of very specialized tool sets, the rapid growth in point-of-care systems, improved ergonomics, and on the horizon, the development of therapeutic ultrasound systems for cardiovascular and cancer therapies. These trends are highlighted in the breakout sections below.
Ultrasonic Devices Market Business Opportunity 2021 - Mindray Medical International Limited, Samsung Medison, Siemens Healthcare, Philips Healthcare, Esaote
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According to the latest report by IMARC Group, titled
“3D Medical Imaging Equipment Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026,” the global 3D imaging equipment market reached a value of US$ 11.1 Billion in 2020. Medical imaging equipment is used for generating visual representations of the internal organs and tissues that are utilized to diagnose and treat various diseases. 3D medical imaging equipment uses innovative technologies for delivering enhanced visualization of clinical interventions and other diagnostic information. It captures images at numerous angles and displays tissues at varying depths. It also produces superior imaging results with high-resolution and more intricate details by employing ultrasound, radiography, tomography and magnetic resonance imaging solutions. Consequently, their utilization widely assists healthcare professionals to get a better understanding of the patient’s body for the diagnosis of mu