PREDICTOM is an international consortium of academia and industry formed in 2023 and led by Stavanger University Hospital in Norway, with GE HealthCare as the leading industrial partner. Twenty-five partners from Europe, North America and Asia aim to develop a screening platform for identifying people at risk for dementia before the onset of clinical symptoms. GE HealthCare is responsible for developing and implementing the platform, and integrating data, algorithms and automatically extracted features by leveraging the company’s strong expertise in MR imaging, leading the discovery of MR imaging-based biomarkers.
In October 2024, the group convened for its annual meeting and celebrated early achievements. The PREDICTOM prospective study has launched with patient recruitment and collection of at-home (phase 1) data. The AI algorithm that will serve to identify low- and high-risk participants that will move to at-clinic (phase 2) data collection has been trained on the UK Biobank data and will incorporate a normative cognition model. The initial MR acquisition protocol harmonization is nearly complete, and it will be presented in June at the Organization for Human Brain Mapping (OHBM) 2025 meeting in Brisbane, Australia. In fact, already 17 abstracts from the Consortium have been presented and two papers are currently in review.
The three current Innovative Health Initiative (IHI) projects on neurodegenerative diseases, PREDICTOM, AD-RIDDLE (a platform to transform how Alzheimer’s disease is detected, diagnosed, treated and prevented across healthcare settings), and PROMINENT (a project to address challenges around Alzheimer’s diagnosis and treatment pathways) have established a collaboration. Public involvement and general practitioner campaigns began, enabling these groups to also contribute toward research. This is an important step, as one goal of PREDICTOM is to find easy and accessible diagnostic tools that can be applied at the general practitioner’s level and in the household, according to PREDICTOM’s academic lead Dag Aarsland, Professor of Old Age Psychiatry at King’s College London and research lead at Stavanger University Hospital.
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The power to explore further
Volume 38 — Spring 2025
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AI synergistically transforms the MR experience
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Join us in seeing the future of MR
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How we are fueling further exploration for clinicians and scientists
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GE HealthCare welcomes new SIGNA Sprint 1.5T to explore further
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In partnership with EU consortium, GE HealthCare to advance AI in healthcare through synthetic data
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First modular MR in Southeast Asia
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ISMRM 2025 abstracts
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MR neurography imaging for all: providing a new service line using existing sequences and systems
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Progardia lowers energy consumption, reduces carbon footprint and increases image quality with continued investment in MR and AI
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Life-speed imaging with Sonic DL Cine opens up cardiac MR access to those who need it most
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Elevating neuro imaging with an upgrade to SIGNA PET/MR
By Ju-Chieh Kevin Cheng, PhD, UBC PET/MRI Physicist, Research Scientist at UBC Pacific Parkinson’s Research Centre, Vesna Sossi, PhD, Professor, Department of Physics and Astronomy, Adjunct Professor at Djavad Mowafaghian Centre for Brain Health, and Elham Shahinfard, PhD, PET-MR Imaging Program Manager, Charles E. Fipke Integrated Neuroimaging Suite, The University of British Columbia, Vancouver, British Columbia, Canada
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Advancing women’s imaging through collaboration
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The role of deep-learning T2 PROPELLER, diffusion and perfusion sequences in 3.0T MR evaluation of head-neck tumors
By Simona Marzi, PhD, medical physicist, Michele Farella, technologist, Giovanni Di Giulio, technologist, and Antonello Vidiri, MD, Medical Director, Regina Elena National Cancer Institute, Rome, Italy
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Leading the way in breast and pelvic imaging with SIGNA Hero
By Shunsuke Matsumoto, MD, Radiology Manager, Keiyu Hospital, Yokohama, Japan
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Shorter scan times and higher quality imaging reduce the need for sedation in pediatric patients
By Pär-Arne Svensson, BSc, Research Radiographer MRI, and Liz Ivarsson, MD, Senior Consultant and Pediatric Radiologist, Queen Silvia Children’s Hospital, Gothenburg, Sweden
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Enhancing surgical precision and patient outcomes with fMRI
By Yoshiyuki Watanabe, MD, PhD, Professor, Department of Radiology, Shiga University of Medical Science, Ōtsu, Shiga, Japan
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Bringing AIR Recon DL to multi-shot diffusion
By Patricia Lan, PhD, MR Scientist, Arnaud Guidon, PhD, Director of Body & Oncology MR, and Suryanarayanan “Shiv” Kauskik, PhD, Senior Digital Product Manager, GE HealthCare
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Ultra-high contrast MR of the brain and spinal cord
By Paul Condron, BSc (Hons), MRI Charge Technologist, Mark Bydder, PhD, Senior Research Fellow, Samantha J. Holdsworth, PhD, Executive Director at Mātai Medical Research Institute and Associate Professor at the University of Auckland, Daniel M. Cornfeld, MD, FRANZCR, Clinical Lead, and Graeme M. Bydder, FRANZCR, Scientific Advisory Board Member, Mātai Medical Research Institute, Gisborne, New Zealand
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Deuterium metabolic imaging shows promise in detecting Alzheimer’s disease
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