Both PIC and MARCIUS leverage GE Vingmed's core industrial expertise in cardiac ultrasound imaging platforms and clinical workflows.
GE VINGMED ULTRASOUND AS
GE Healthcare's cardiac ultrasound division in Norway, specialising in AI-driven echocardiography and clinical diagnostic support tools.
Their core work
GE Vingmed Ultrasound AS is the cardiac ultrasound division of GE Healthcare, based in Horten, Norway, and one of the world's leading manufacturers of echocardiography systems and clinical software. Their core business is developing hardware and software for cardiac imaging — the tools cardiologists use daily to diagnose heart disease. Within EU research, they contribute deep industrial expertise in clinical ultrasound technology, bringing commercial-grade imaging platforms and real-world clinical workflows into academic research consortia. Their dual focus on computational cardiac modelling and AI-driven diagnostic support reflects a clear industrial R&D agenda: turning research advances in cardiac imaging directly into better clinical products.
What they specialise in
MARCIUS (2019–2023), which they coordinated, focused explicitly on deep learning, cardiac deformation imaging, and diagnostic support tools.
PIC (2017–2022) addressed personalised in-silico cardiology, with GE Vingmed contributing as an industrial partner bridging simulation and clinical imaging.
MARCIUS keywords highlight cardiac deformation imaging as a specific technical focus, consistent with GE's EchoPAC strain analysis product line.
How they've shifted over time
GE Vingmed entered H2020 research through computational cardiology — working on personalised in-silico cardiac models as an industrial partner. By the time they took the coordinator role in MARCIUS (2019), the focus had shifted decisively toward AI and machine learning applied directly to echocardiographic image analysis and automated diagnostic support. This reflects a broader industry trajectory: moving from physics-based simulation to data-driven, deep learning approaches for real-time clinical decision support in cardiac imaging.
GE Vingmed is moving from simulation-based research toward applied AI in clinical cardiac imaging, suggesting future collaboration opportunities will centre on deep learning, automated image interpretation, and AI-assisted diagnosis in cardiology.
How they like to work
GE Vingmed plays both roles in EU research — joining as an industrial partner in larger multi-institutional consortia (PIC) and leading as coordinator in focused training networks (MARCIUS). Their coordinator role in MARCIUS indicates they are comfortable managing research programmes, not just contributing technology. With 19 unique partners across 8 countries from only 2 projects, they clearly work in sizeable, internationally diverse consortia, which suggests they bring strong network and consortium management capacity alongside their technical expertise.
GE Vingmed has built a network of 19 unique partners across 8 countries through just 2 projects, indicating rich, multi-partner consortia rather than bilateral collaborations. Their network spans European academic and research institutions, consistent with the MSCA-ITN format which requires geographically distributed training partnerships.
What sets them apart
GE Vingmed Ultrasound is the rare industrial partner that brings a globally deployed clinical product — their echocardiography systems are used in hospitals worldwide — directly into academic research consortia, providing both real clinical data access and a credible commercialisation pathway. Unlike university research groups, they can validate research outputs against actual clinical workflows and accelerate the path from algorithm to CE-marked medical device. For a consortium building around cardiac imaging or AI diagnostics, they represent the critical link between research excellence and market deployment.
Highlights from their portfolio
- MARCIUSGE Vingmed coordinated this MSCA Innovative Training Network on AI-powered echocardiography (EUR 584,685), an unusually strong signal of industrial leadership in an academic funding scheme.
- PICPersonalised In-Silico Cardiology placed GE Vingmed inside a computational modelling consortium, demonstrating their willingness to engage with pre-commercial cardiac simulation research alongside their clinical imaging work.