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- \nNVIDIA technology is now integrated into several of GE HealthCare\u2019s new imaging solutions, including Photonova Spectra1<\/sup>,SIGNA Sprint with Freelium2<\/sup>, SIGNA Bolt3<\/sup>, Vivid Pioneer, and Pristina Recon DL.\n<\/li>\n
- \nAt RSNA 2025, GE HealthCare is also gathering feedback on early-stage exploratory workflow concepts4<\/sup> within ultrasound and X-ray that incorporate autonomous technologies for continued research and development.\n<\/li>\n<\/ul>\n
CHICAGO–(BUSINESS WIRE<\/a>)–
\nAt the Radiological Society of North America (RSNA) 2025 Annual Meeting, GE HealthCare (Nasdaq: GEHC) is showcasing several innovations brought to life through an expanded collaboration with NVIDIA. This collaboration underscores GE HealthCare\u2019s ongoing commitment to integrating advanced technologies that aim to transform healthcare delivery and improve patient care. The company is leveraging NVIDIA\u2019s offerings and expertise in areas of physical AI, high performance computing, and simulation, which has the potential to reduce manual tasks, increase patient comfort, and alleviate radiologist burnout through AI-powered assistance.\n<\/p>\n\nGE HealthCare and NVIDIA are working together to address some of the most pressing challenges in medical imaging and diagnostics with solutions that aim to shorten scan times, enhance diagnostic clarity, and improve clinical workflows. This is especially urgent given that approximately 30% of the world\u2019s data is generated by the healthcare industry5<\/sup>, yet healthcare systems only use about 3% of it due to fragmented systems and inefficient workflows.6 <\/sup>As highlighted at RSNA this year, this collaboration is powering next-generation solutions across modalities\u2014from CT and PET, to cardiac, mammography, and ultrasound systems\u2014by integrating NVIDIA\u2019s full-stack accelerated computing platforms to process large, complex datasets with speed and precision.\n<\/p>\n
\n\u201cWe are redefining diagnostic imaging by fusing GE HealthCare\u2019s deep clinical expertise and imaging innovation with NVIDIA\u2019s edge AI and accelerated computing platforms,\u201d said Roland Rott, President and CEO, Imaging, GE HealthCare. \u201cWith co-development efforts spanning simulation, segmentation, and real-time image reconstruction, and a joint go-to-market strategy underway, this alliance enables us to drive scalable innovation across the continuum of care. Together, we are creating a future of smarter, faster, and more autonomous imaging workflows.\u201d\n<\/p>\n
\n\u201cA future where medical imaging devices are intelligent and robotic has the potential to expand the scale and reach of diagnostic imaging to more places and more patients than ever before,\u201d said Kimberly Powell, Vice President of Healthcare at NVIDIA. \u201cTogether with GE HealthCare, we\u2019re reimagining how imaging systems are built, deployed, and enhanced\u2014in order to create smarter scans and faster workflows which could improve diagnoses and treatments for patients globally.\u201d\n<\/p>\n
Key GE HealthCare innovations leveraging NVIDIA\u2019s technology include:<\/b><\/p>\n
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- Vivid\u2122 Pioneer<\/b>: This innovation is GE HealthCare\u2019s most advanced, ultra-premium and adaptive cardiovascular ultrasound system yet. The ultrasound system is designed to support clinicians with extraordinary imaging in 2D, 4D and color flow, streamlined workflow, and enhanced diagnostic confidence. Vivid Pioneer utilizes two professional grade NVIDIA GPUs \u2013 dedicated to advanced image reconstruction, processing, AI, and visualization. The result is exceptional imaging performance and diagnostic accuracy for enhanced clinical decisions.\n<\/li>\n
- Pristina\u2122 Recon DL<\/b>: This solution is GE HealthCare’s advanced 3D mammography reconstruction technology \u2014 the first to combine deep learning with ASIR reconstruction\u2014that provides outstanding digital breast tomosynthesis (DBT) image quality at a low patient radiation dose. The system is designed to support clinicians with 2D synthetic, 3D slabs and volumes, with streamlined workflow and enhanced diagnostic confidence. Pristina Recon DL utilizes NVIDIA\u2019s accelerated computing technology to execute its advanced image reconstruction, delivering fast and accurate images in the exam room and for clinical diagnosis.\n<\/li>\n<\/ul>\n
Innovations unveiled at RSNA 2025 [510(k) pending at the U.S. FDA. Not available for sale.]:<\/b><\/p>\n
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- Photonova Spectra<\/b>\u2122 Photon Counting CT (PCCT)<\/b>7,8<\/sup>: Shown for the first time at RSNA, the new imaging solution aims to transform CT imaging with the world\u2019s first Deep Silicon photon counting technology, designed to deliver remarkable spectral and spatial resolution, seeking to enable clinicians to see more, know more, and achieve more across the clinical spectrum. This system, which leverages NVIDIA\u2019s latest accelerated computing technology and CUDA libraries, is designed to process up to 50 times more data than standard CT systems and seeks to provide fast and precise outputs supporting diagnostic confidence.\n<\/li>\n
- SIGNA\u2122 Sprint with Freelium<\/b>9<\/sup>: This innovative technology aims to reimagine 1.5T MRI by combining exceptional helium-free10<\/sup> sustainability, high fidelity image quality, and intelligent automation \u2014 designed to deliver everyday diagnostic excellence. GE HealthCare utilizes NVIDIA GPU-accelerated platforms to accelerate the development of deep learning-based reconstruction models.\n
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- \nOn the MR scanner itself, the NVIDIA Triton Inference Server powers advanced deep learning inference, enabling fast, efficient image reconstruction.\n<\/li>\n
- \nThe combination of NVIDIA\u2019s cutting-edge hardware and CUDA software allows GE HealthCare to deliver fast processing times with impressive image quality, aiming to help clinicians make quick, confident diagnostic decisions.\n<\/li>\n<\/ul>\n<\/li>\n
- SIGNA\u2122 Bolt<\/b>11<\/sup>:<\/b> GE HealthCare is also unveiling its most advanced 3.0T MRI system \u2014 combining ultra-high gradient performance, intelligent digital radio frequency (RF) architecture, and sustainable design which together aim to deliver sharp imaging, fast workflows, and seamless clinical-to-research flexibility, all with exceptionally low energy consumption and operational costs. Powered by NVIDIA\u2019s GPU-accelerated processing, SIGNA Bolt is designed to provide real-time image enhancement, fast scans, and enhanced efficiency \u2014 with the goal of precise MRI diagnostics supporting patient care.\n
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- \nSIGNA Bolt also leverages SONIC DL<\/b>, which uses NVIDIA Triton Inference Server. Sonic DL provides up to 12 times acceleration and more than 80% scan time reduction, enabled by a deep learning-based reconstruction algorithm.\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
Concepts in development:<\/b><\/p>\n
\nIn March, GE HealthCare and NVIDIA announced their intent to explore autonomous X-ray and autonomous ultrasound solutions aiming to bring even greater efficiencies to healthcare providers. This autonomous imaging initiative aims to leverage NVIDIA Isaac\u2122 for Healthcare<\/a>\u2014an AI robotics development platform tailored for medical environments\u2014together with NVIDIA Holoscan<\/a>, a real-time edge AI computing platform designed for autonomous ultrasound systems. The future goal is for these capabilities to be deployed at the edge, close to existing medical devices, on a range of NVIDIA hardware platforms to help automate parts of the workflow. The autonomous vision is to streamline workflows by helping accelerate diagnostic turnaround, which can support expanding access to care to underserved areas. At RSNA 2025, GE HealthCare will seek feedback for potential concepts that incorporate autonomous x-ray and ultrasound technology through limited, early-stage exploratory demonstrations.12<\/sup><\/p>\n
\n\u201cWe\u2019re proud to be strengthening our long-standing relationship with NVIDIA and to make meaningful strides toward the future of intelligent imaging,\u201d said Philip Rackliffe, President and CEO, Advanced Visualization Solutions, GE HealthCare. \u201cBy integrating NVIDIA\u2019s full-stack platform, we\u2019re advancing the technologies needed for autonomous X-ray and ultrasound imaging. These innovations in development bring us closer to scalable, AI-powered imaging that supports clinicians, aims to improve patient outcomes, and helps expand access to high-quality care with speed and efficiency.\u201d\n<\/p>\n
- \nSIGNA Bolt also leverages SONIC DL<\/b>, which uses NVIDIA Triton Inference Server. Sonic DL provides up to 12 times acceleration and more than 80% scan time reduction, enabled by a deep learning-based reconstruction algorithm.\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
- SIGNA\u2122 Sprint with Freelium<\/b>9<\/sup>: This innovative technology aims to reimagine 1.5T MRI by combining exceptional helium-free10<\/sup> sustainability, high fidelity image quality, and intelligent automation \u2014 designed to deliver everyday diagnostic excellence. GE HealthCare utilizes NVIDIA GPU-accelerated platforms to accelerate the development of deep learning-based reconstruction models.\n
- Pristina\u2122 Recon DL<\/b>: This solution is GE HealthCare’s advanced 3D mammography reconstruction technology \u2014 the first to combine deep learning with ASIR reconstruction\u2014that provides outstanding digital breast tomosynthesis (DBT) image quality at a low patient radiation dose. The system is designed to support clinicians with 2D synthetic, 3D slabs and volumes, with streamlined workflow and enhanced diagnostic confidence. Pristina Recon DL utilizes NVIDIA\u2019s accelerated computing technology to execute its advanced image reconstruction, delivering fast and accurate images in the exam room and for clinical diagnosis.\n<\/li>\n<\/ul>\n
- \nAt RSNA 2025, GE HealthCare is also gathering feedback on early-stage exploratory workflow concepts4<\/sup> within ultrasound and X-ray that incorporate autonomous technologies for continued research and development.\n<\/li>\n<\/ul>\n
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