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STRATUM project: AI-based point of care computing for neurosurgical 3D decision support tools

Academic Article
Publication Date:
2025
abstract:
Integrated digital diagnostics are transforming complex surgical procedures, with brain tumour surgery being among the most challenging. STRATUM, a five-year Horizon Europe-funded project, aims to develop an advanced 3D decision support system leveraging real-time multimodal data processing powered by artificial intelligence. A key innovation of STRATUM is its design as an energy-efficient Point-of-Care computing system, seamlessly integrated into neurosurgical workflows. This system will provide surgeons with real-time, AI-driven insights, enhancing decision-making accuracy and efficiency. By optimizing surgical precision and reducing procedure duration, STRATUM is expected to improve patient outcomes while streamlining resource utilization within European healthcare systems.
Iris type:
1.1 Articolo in rivista
List of contributors:
Fabelo, Himar; Leon, Raquel; Torti, Emanuele; Marco, Santiago; Badouh, Asaf; Verbers, Max; Vega, Carlos; Santana-Nunez, Javier; Falevoz, Yann; Ramallo-Fariña, Yolanda; Weis, Christian; Wägner, Ana M; Juarez, Eduardo; Rial, Claudio; Lagares, Alfonso; Burström, Gustav; Leporati, Francesco; Jimenez-Roldan, Luis; Marenzi, Elisa; Cervero, Teresa; Moreto, Miquel; Danese, Giovanni; Zinger, Svitlana; Manni, Francesca; Alvarez-Male, Maria Luisa; García-Bello, Miguel A.; García, Lidia; Morera, Jesus; Piñeiro, Juan F.; Bairaktari, Chrysanthi; Noriega-Ortega, Beatriz; Clavo, Bernardino; Callico, Gustavo M.
Authors of the University:
DANESE GIOVANNI
LEPORATI FRANCESCO
MARENZI ELISA
TORTI EMANUELE
Handle:
https://iris.unipv.it/handle/11571/1525655
Published in:
MICROPROCESSORS AND MICROSYSTEMS
Journal
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URL

https://www.sciencedirect.com/science/article/pii/S0141933125000250?via=ihub
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