GE Healthcare Unveils Its Most Advanced Ultrasound Yet
|
By MedImaging International staff writers Posted on 25 Jul 2022 |

As pregnancies grow increasingly complex, clinicians are demanding improvements in technology that allow for greater confidence at the point of care. Shrinking workforces are straining healthcare systems around the world, and without intensive training to operate complex medical imaging technology, clinicians are therefore demanding smart, intuitive systems that reduce the burden on individual users. Now an advanced ultrasound system utilizes graphic-based beam former technology, which produces higher quality images and offers greater flexibility in imaging functions. Cutting-edge tools powered by Artificial Intelligence (AI) ensure greater consistency in exams and decreased number of tasks. Customizable touch panels, color and lighting options provide for a revolutionary user experience.
GE Healthcare (Chicago, IL, USA) has unveiled its most advanced ultrasound yet, the next-generation Voluson Expert 22. The Voluson Expert 22’s Lyric Architecture unlocks new imaging and processing power to achieve higher resolution, detailed images—and increased independence from body habitus and other difficult scanning conditions. The Lyric Architecture generates new levels of penetration, resolution, and frame rates to reveal fine anatomy in 2D/3D/4D with ease, and delivers uniformity throughout the image with increased spatial and contrast resolution.
Voluson’s modern user interface is simple and seamless, and the 23.8 inch high-definition ultrasound (HDU) display offers 3 image sizes including unique full screen images that allows clinicians to work comfortably and see finer details with ease. Clinicians can personalize the user interface according to their unique preferences and Respond probe activation automatically initializes the probes and presets when removed from the probe holder.
AI-powered tools include SonoLyst, which helps identify fetal anatomy seen on standard views while enhancing efficiency by up to 65%* by adding annotations and measurements; SonoPelvicFloor, which simplifies the exam process by 80% automating plane alignment and measurements while offering workflow guidance to improve efficiency while eliminating uncertainty; SonoCNS which supports consistent measurements and help drive workflow efficiency and reduce exam time by 81% by helping align and display recommended views and measurements of the fetal brain from a 3D Volume.
“Technology continues to move obstetrics and gynecology forward, but there is a delicate balance between using technology to enhance medical care and the human role in medicine” said, Gerald Seifriedsberger, General Manager- Women’s Health. “We are incredibly proud to build on our legacy of innovation in women’s health with the introduction of the Voluson Expert 22, and deliver advanced ultrasound imaging at the point of care that allows for more shared decision-making between clinician and patient.”
Related Links:
GE Healthcare
Latest Ultrasound News
- AI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
- Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
- New Ultrasound AI Tool Supports Rapid Prenatal Assessment
- New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
- Groundbreaking Technology to Enhance Precision in Emergency and Critical Care
- Reusable Gel Pad Made from Tamarind Seed Could Transform Ultrasound Examinations
- AI Model Accurately Detects Placenta Accreta in Pregnancy Before Delivery
- Portable Ultrasound Sensor to Enable Earlier Breast Cancer Detection
- Portable Imaging Scanner to Diagnose Lymphatic Disease in Real Time
- Imaging Technique Generates Simultaneous 3D Color Images of Soft-Tissue Structure and Vasculature
- Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
- Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
- Ultrasound Probe Images Entire Organ in 4D

- Disposable Ultrasound Patch Performs Better Than Existing Devices
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
- Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
Channels
Radiography
view channel
Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read moreMRI
view channel
Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
Tricuspid regurgitation, in which blood flows back from the right ventricle into the right atrium, can lead to progressive right-sided heart failure. Clinicians need reliable ways to gauge severity and... Read more
AI System Improves Accuracy of Cardiac MRI Interpretation
Cardiac magnetic resonance imaging (MRI) is the reference standard for assessing cardiac structure, function, and tissue health. Yet each exam can contain hundreds to thousands of images across multiple... Read moreNuclear Medicine
view channelMR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channelMultimodal AI Tool Combines CT and Health Records to Predict Heart Risk
Cardiovascular disease is a leading cause of death and an underrecognized risk for people treated for breast cancer. Cardiac complications can affect survival and quality of life. Clinicians need tools... Read more
AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







