New AI-Powered Ultrasound Devices May Enhance Efficiency in Women's Imaging
One of the features on the new Voluson Signature 20 and 18 ultrasound devices reportedly uses automated AI tools to facilitate a 40 percent reduction in the time it takes to perform second trimester exams.
Leveraging a variety of artificial intelligence (AI) capabilities, the newly launched Voluson Signature 20 and 18 ultrasound devices may significantly enhance efficiency of common ultrasound exams for women.
GE HealthCare, the manufacturer of the Voluson Signature 20 and 18 ultrasound devices, said key efficiencies include:
• a 48 percent time reduction for performing fetal heart assessments due to a fetalHS feature, which provide stepwise AI guidance to identify normal fetal heart anatomy;
The SonoLyst feature, a suite of automated AI tools available with the newly launched Voluson Signature 20 and 18 ultrasound devices, reportedly facilitates a 40 percent time reduction for performing second trimester exams as per standards from the International Society of Ultrasound in Obstretics and Gynecology (ISUOG). (Image courtesy of GE HealthCare.)
• a 40 percent time reduction for performing second trimester exams as per standards from the International Society of Ultrasound in Obstretics and Gynecology (ISUOG) due to the SonoLyst feature, a suite of automated AI tools; and
• a 76 percent keystroke reduction with the automated plane alignment and measurements of the SonoPelvicFloor feature.
"We've seen huge advancements in ultrasound technology, including the use of AI, resulting in a new era of ultrasound scanning. The new Voluson Signature series features innovative tools clinicians can rely on, and the automated functions help reduce work stress and improve workflows," noted Ben Csapo, M.D., a maternal fetal medicine specialist in Graz, Austria.
Recent Videos
Related Content
Study: AI-Generated ADC Maps from MRI More Than Double Specificity in Prostate Cancer Detection
June 5th 2025Article
Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.
Can AI Assessment of PET Imaging Predict Treatment Outcomes for Patients with Lymphoma?
June 2nd 2025Article
The use of adjunctive AI software with pre-treatment PET imaging demonstrated over a fourfold higher likelihood of predicting progression-free survival (PFS) in patients being treated for lymphoma, according to a new meta-analysis.
Lunit Unveils Enhanced AI-Powered CXR Software Update
May 28th 2025Article
The Lunit Insight CXR4 update reportedly offers new features such as current-prior comparison of chest X-rays (CXRs), acute bone fracture detection and a 99.5 percent negative predictive value (NPV) for identifying normal CXRs.
