AI-Enhanced Ultrasound Shortens Scan Time and Improves Efficiency
By MedImaging International staff writers Posted on 14 Oct 2020 |

Image: Novel AI algorithms power the Voluson SWIFT OB/GYN ultrasound scanner (Photo courtesy of GE Healthcare)
A new OB/GYN ultrasound scanner includes artificial intelligence (AI) algorithms that support auto-recognition, high image quality, and efficiency features.
The GE Healthcare (GE; Little Chalfont, United Kingdom) Voluson SWIFT ultrasound system includes an embedded AI platform that features SonoLyst, a fully integrated AI tool with a suite of image recognition tools that automatically identify fetal anatomy in over 20 standard views. A scan assistant tool reduces patient scan times by 45% through simplified workflow and personal protocol customization. SonoBiometry measurements, which are 38% faster than in previous platforms, add three measurements that increase system automation by 60%;
Additional features include SonoCNS, part of GE’s Edison intelligence platform, that reduces keystrokes for capturing fetal central nervous system (CNS) planes and measurements by 78%; Tricefy, which enables easy connectivity for instant sharing of scans with patients and colleagues, as well as secure archiving; an interface for 3D printing directly from the system; and simple, fast cleaning, as the system has minimal hard keys, solid surfaces, and a large touchscreen.
“Voluson SWIFT has redefined one of the most essential tools obstetrics and gynecology clinicians rely on, delivering a contemporary design, intuitive user interface, and intelligent workflow supported by AI,” said Roland Rott, general manager of women’s health ultrasound at GE Healthcare. “In today’s environment, where cleanliness and time savings opportunities are critical for clinicians, we’re proud to offer a solution that makes our customers’ work easier and gives them time back with their patients.”
“The Voluson SWIFT is intuitive to use and comes with many options to personalize your preferences on the system, and auto-measurement tools that allow you to focus on the examination, rather than time-consuming adjustments,” said gynecologist Ralf Menkhaus, MD, of Kinderwunschzentrum (Minden, Germany). “It’s like the machine is helping do some of the thinking for you, which has allowed me to seamlessly integrate it for any obstetric and gynecological exams I need to do.”
The GE Healthcare (GE; Little Chalfont, United Kingdom) Voluson SWIFT ultrasound system includes an embedded AI platform that features SonoLyst, a fully integrated AI tool with a suite of image recognition tools that automatically identify fetal anatomy in over 20 standard views. A scan assistant tool reduces patient scan times by 45% through simplified workflow and personal protocol customization. SonoBiometry measurements, which are 38% faster than in previous platforms, add three measurements that increase system automation by 60%;
Additional features include SonoCNS, part of GE’s Edison intelligence platform, that reduces keystrokes for capturing fetal central nervous system (CNS) planes and measurements by 78%; Tricefy, which enables easy connectivity for instant sharing of scans with patients and colleagues, as well as secure archiving; an interface for 3D printing directly from the system; and simple, fast cleaning, as the system has minimal hard keys, solid surfaces, and a large touchscreen.
“Voluson SWIFT has redefined one of the most essential tools obstetrics and gynecology clinicians rely on, delivering a contemporary design, intuitive user interface, and intelligent workflow supported by AI,” said Roland Rott, general manager of women’s health ultrasound at GE Healthcare. “In today’s environment, where cleanliness and time savings opportunities are critical for clinicians, we’re proud to offer a solution that makes our customers’ work easier and gives them time back with their patients.”
“The Voluson SWIFT is intuitive to use and comes with many options to personalize your preferences on the system, and auto-measurement tools that allow you to focus on the examination, rather than time-consuming adjustments,” said gynecologist Ralf Menkhaus, MD, of Kinderwunschzentrum (Minden, Germany). “It’s like the machine is helping do some of the thinking for you, which has allowed me to seamlessly integrate it for any obstetric and gynecological exams I need to do.”
Latest Ultrasound News
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
- Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
- Pain-Free Breast Imaging System Performs One Minute Cancer Scan
- Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
- New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
- New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
- AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
- AI Identifies Heart Valve Disease from Common Imaging Test
- Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
- Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
- High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
- World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
- Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
- Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
Channels
Radiography
view channel
AI Hybrid Strategy Improves Mammogram Interpretation
Breast cancer screening programs rely heavily on radiologists interpreting mammograms, a process that is time-intensive and subject to errors. While artificial intelligence (AI) models have shown strong... Read more
AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
Breast cancer remains one of the most common cancers among women, with about one in eight receiving a diagnosis in their lifetime. Despite widespread use of mammography, about 34% of patients in the U.... Read moreMRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreNuclear Medicine
view channel
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read moreGeneral/Advanced Imaging
view channel
Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
Maintaining accuracy and safety in interventional radiology is a constant challenge, especially as complex procedures require both high precision and efficiency. Traditional setups often involve multiple... Read more
Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
Strokes caused by blood clots or other mechanisms that obstruct blood flow in the brain account for about 85% of all strokes. Determining where a clot originates is crucial, since it guides safe and effective... Read more
Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
Liver cancer is the sixth most common cancer worldwide and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is critical for diagnosis and therapy, but manual methods by radiologists... Read more
New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
Postpartum hemorrhage (PPH) is a leading cause of maternal death worldwide. While most cases can be controlled with medications and basic interventions, some become life-threatening and require invasive treatments.... Read moreImaging IT
view channel
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 and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more