GE HealthCare Unveils Advanced SIGNA MRI Technology

Chicago, Dec 01 — GE HealthCare (Nasdaq: GEHC) today announced the 510(k) submissions to the U.S. Food and Drug Administration (FDA) seeking clearance for next-generation SIGNA™ MRI technology. Unveiled at the Radiological Society of North America’s 2025 Annual Meeting, these differentiated solutions are part of a wave of new GE HealthCare innovations aimed at tackling some of the most complex challenges in healthcare. Designed to enhance precision diagnosis for clinicians and help clinicians improve patient outcomes, the new technologies include GE HealthCare’s4 1.5T MRI system, both equipped with an AI-powered workflow platform designed for end-to-end exam efficiency.

With imaging needs outpacing the radiologist workforce5, leading to longer wait times, burnout and delays in diagnosis, many departments are struggling to keep pace. At the same time, aging equipment and flat reimbursement rates are pushing providers to seek smarter, more sustainable solutions.

“The urgency for greater access, efficiency and precision in MRI has never been greater. We’ve listened to clinicians who are seeking smarter, more sustainable technologies to meet today’s challenges and tomorrow’s needs,” said Kelly Londy, President & CEO, MR, GE HealthCare. “With the introduction of our advanced SIGNA lineup, we’re delivering on a bold vision for MRI — one that intentionally puts smarter technology to work for clinicians and patients alike to make MRI more intuitive, more efficient, and more impactful in everyday care.”

SIGNA™ Bolt: Aiming to translate innovative discoveries and complex exams into everyday patient care

SIGNA Bolt6 aims to bring to market our most advanced high-field, clinical wide bore 3.0T MRI system and is seeking to combine ultra-high gradient performance, intelligent digital radio frequency (RF) architecture, and sustainable design to deliver precision imaging, fast workflows, and seamless clinical-to-research flexibility, all with exceptionally low energy consumption and operational costs.

SIGNA Bolt is designed to include:

The power needed to deliver diagnostic quality in everyday scans with outstanding gradient and RF performance for both research and clinical applications
Next-gen AI-enabled workflow of SIGNA One in combination with deep learning applications that are designed to enable accelerated examination times
Deep-learning based advanced applications that aim to enhance diagnostic capabilities
End-to-end clinical pathway solutions from planning to reporting for neurology and oncology
Advanced developer toolkits to simplify research
SIGNA™ Sprint with Freelium™: Designed to be purposefully helium-free without compromising on clinical or operational efficiency

SIGNA Sprint with Freelium7 aims to broaden access to sustainable and equitable MRI technology. With less than 1% helium usage8, Freelium is designed to provide effortless sustainability without compromising clinical and operational efficiency.

Engineered for excellence, the SIGNA Sprint with Freelium 1.5T system is designed to support remarkable image quality through exceptional homogeneity, high signal-to-noise ratio (SNR) and image clarity. Integrated with deep learning solutions, including AIR™ Recon DL and Sonic DL with wide coverage of anatomies and clinical applications, the system aims to provide consistent clarity and diagnostic confidence.

Designed with flexibility in mind, its Freelium ventless magnet is designed to allow installation virtually anywhere – from inside hospitals to remote regions, expanding access to advanced MR capabilities for more patients and communities. SIGNA Sprint with Freelium features two levels of operational autonomy to empower radiology departments: Scanning Autonomy with SIGNA One Interface, an intuitive user interface aiming to simplify scanning for all levels of technologist experience, and Autoramp with intelligent sensors designed to support automated magnet recovery and supporting system uptime without the need for a field engineer.

SIGNA ™ Sprint with Freelium is designed to include:

A design that uses less than 1% helium versus conventional designs9 with no additional power or cooling required
MR magnet installation virtually anywhere – from inside hospitals to remote regions that need more access to advanced MR capabilities, due to its ventless design
Exceptional homogeneity10 designed for impressive image quality and diagnostic capability
SIGNA One11: Aiming to reduce inefficiencies with a new, AI-powered MRI workflow platform

A next-gen, AI-powered workflow platform that is designed to improve the imaging experience by combining precision with simplicity, SIGNA One offers five innovations at its core designed to streamline operations and elevate clinical confidence.

“We’re dedicated to making every interaction smooth, fast and patient centric by using predictive technology that boosts efficiency,” said Bryan Mock, PhD, General Manager, Global Product Segment, Premium MR, GE HealthCare. “SIGNA One technology is designed to simplify and improve the efficiency of experienced users, while aiming to shorten the learning curve for new users. Regardless of a users’ experience level, SIGNA One aims to liberate users from inefficiencies at every stage of the MR imaging process.”

SIGNA ™ One is designed to include12:

An intuitive user experience that may help reduce training time and aims to boost productivity while aiming to shorten the learning curve for new and less experienced users
The SIGNA One Table, designed to enhance patient comfort and simplify patient transport
Fully automated SIGNA One Camera with In-Room Console live feed, AI-enabled landmark localization and patient positioning verification, with real-time visual guidance on a touchscreen display — aiming to improve speed and accuracy of patient setup
Contactless respiratory and peripheral gating designed to capture physiological data effortlessly, regardless of patient orientation and without the need for external devices
High-resolution, In-Room Consoles empowering technologists with simple patient setup control, aiming to minimize interruptions and maximizing throughput
GE HealthCare is integrating with NVIDIA technology to enhance the performance and intelligence of its MR products by utilizing NVIDIA GPUs to accelerate the development of deep learning reconstruction models. Accelerated by NVIDIA’s RTX product line and programmed with the new SIGNA One MRI Workflow solutions and advanced deep learning tools that are designed to elevate the user and patient experience, SIGNA Bolt and SIGNA Sprint with Freelium are designed to provide powerful imaging techniques for tailored patient care.

Learn more about these and other GE HealthCare MRI technologies at GE HealthCare’s booth #7334 at RSNA’s annual meeting in Chicago through Dec. 4.