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GE Healthcare Introduces AI-Powered Ultrasound Systems for Women's Health Diagnosis

Written by : Arti Ghargi

April 19, 2024

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Image Source: Freepik

The Voluson Signature 20 and 18 ultrasound systems offer a host of AI-powered features tailored to women's healthcare settings including voice command.


Global Medical Technical giant GE Healthcare has unveiled the Voluson Signature 20 and 18 ultrasound systems, for women's healthcare diagnostics.

These latest systems are powered by artificial intelligence (AI), advanced technological tools, and ergonomic design which will enable faster examination for clinicians and deliver clear insights into various conditions affecting women's health.

The ultrasound system is designed for precision imaging of complex healthcare issues faced particularly by women in pregnancy-related complications and reproductive system disorders.

The innovative combination of high-performance hardware and scalable software aims to enhance clinicians' confidence in diagnostic and treatment decisions, the company said in a statement.

Gerald Seifriedsberger, general manager of Women's Health Ultrasound at GE Healthcare, elaborated the potential of advanced imaging clarity in detecting fetal abnormalities and gynecological conditions like endometriosis.

“With proven time-saving AI-driven applications, and advanced automation features that simplify exams, we’re providing technology that can help enhance ease of use and provide clearer images – helping clinicians power through demanding workflows faster while delivering greater consistency and accuracy, ultimately helping deliver better health outcomes for women,” Seifriedsberger added.

Features of GE’s New AI-Powered Ultrasound System

The Voluson Signature 20 and 18 ultrasound systems offer a host of AI-powered features tailored to women's healthcare settings including voice command.

The "Hey Voluson" feature enables hands-free operation through voice commands, streamlining user interaction and saving time.

SonoLyst leverages AI to identify fetal anatomy on standard views, automatically annotating and measuring as needed, potentially reducing the time for standard second-trimester exams by up to 40%, the company said in a statement.

SonoPelvicFloor, on the other hand, automates pelvic floor assessments, reducing keystrokes by up to 76% through automated alignment and measurements.

The system also comes with Fibroid Mapping feature that standardizes and simplifies fibroid documentation using AI mapping, measuring, and classification.

The fetalHS provides AI-driven guidance for fetal heart assessments, potentially reducing assessment time by up to 48%, said GE Healthcare.

Additionally, the integration of Vscan Air CL wireless dual probe with the Voluson Signature systems can introduce a flexible wireless workflow, enhance maneuverability and convenience for clinicians.

Rise of AI-Powered Ultrasound Systems

AI-powered ultrasound systems have been gaining popularity in recent years, with several companies introducing innovative technologies to enhance the imaging capabilities of these devices.

GE HealthCare had earlier introduced its Venue Family point-of-care ultrasound systems with new AI-driven technology, Caption Guidance, which helps deliver real-time guidance to users for capturing cardiac images with diagnostic quality.

The company plans to incorporate this AI technology into other ultrasound systems, such as handheld systems, to improve access to diagnostic care.

Exo, a company founded in 2015, has launched its AI-powered handheld ultrasound system, Iris, which is designed to be extremely easy to use and capture clear and accurate images no matter the clinician's level of imaging training.

Another medtech giant Siemens Healthineers offers a range of AI-powered ultrasound imaging systems, including the ACUSON Origin, which features a suite of AI-powered features for measurements, view recognition, and imaging, and the ACUSON Sequoia Ultrasound System with BioAcoustic Imaging Technology, which provides high-resolution imaging that adapts to patients' size and personal characteristics.


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