Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/169866
Título: Multi Partner Project: STRATUM, co-creation protocol and advanced smart GUI for a 3D neurosurgery supporting tool
Autores/as: Torti, Emanuele
Fabelo Gómez, Himar Antonio 
Marenzi, Elisa
Álvarez Malé,Maria Luisa 
Bairaktari, Chrysanthi
Noriega-Ortega, Beatriz
León, Raquel 
Marco, Santiago
Badouh, Asaf
Verbers, Max
Vega, Carlos
Santana Núñez, Javier 
Ramallo Fariña, Yolanda 
Weis, Christian
Wagner, Ana M. 
Juarez, Eduardo
Rial, Claudio
Lagares, Alfonso
Burström, Gustav
Jimenez-Roldan, Luis
Cervero, Teresa 
Moreto, Miquel
Danese, Giovanni
Zinger, Svitlana
Manni, Francesca
García-Bello, Miguel A.
García, Lidia
Morera, Jesus
Piñeiro, Juan F.
Clavo, Bernardino 
Leporati, Francesco
Callicó, Gustavo M. 
Clasificación UNESCO: 3314 Tecnología médica
Palabras clave: Brain Tumour Detection
Hpc
Multimodal Imaging
Neurosurgery
Poc Computing
Fecha de publicación: 2026
Conferencia: Design, Automation and Test in Europe (DATE 2026) 
Resumen: STRATUM is a Horizon Europe multi-partner project developing a clinically validated, real-time 3D decision support tool for brain tumour surgery. The system integrates Hyperspectral Imaging (HSI), AI-based multimodal data fusion, and heterogeneous High-Performance Computing (HPC) architectures combining Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), and Processing-In-Memory (PIM) technologies. A touchless augmented reality interface facilitates safe and intuitive intraoperative interaction. The distinguishing characteristic of STRATUM is its end-to-end co-designed approach, which integrates advanced computing, state-of-the-art imaging and clinical expertise into a unified Point-of-Care (PoC) platform. Utilising a structured co-creation methodology involving surgeons, engineers, and social scientists, the project ensures usability, safety and regulatory compliance from its early design stages to its clinical validation. The usability of STRATUM will be tested in three hospitals located in different European regions with diverse conditions and regulations. This will allow to collect advice and remarks from surgical staff in a continuous co-creation and co-tuning protocol. Beyond its clinical objectives, STRATUM contributes to the advancement of heterogeneous computing for real-time diagnostics, AI acceleration in critical medical environments and energy-efficient system integration. Furthermore, it delivers open datasets, validated AI pipelines, and performance benchmarks with a view to fostering future research and industrial innovation in digital surgery. The STRATUM project establishes a replicable model for intelligent, human-centred computing integrating microelectronics, AI and medicine.The paper presents an overview of the project in terms of aims, concepts and technologies and the description of the state of the work when approaching the end of the second of the five years planned. Specifically, the outcomes of the steps related to the collaboration with surgeons and medical staff (co-creation process) and the intelligent Graphical User Interface (GUI) development will be described. The latter allows for contactless interaction of the surgeon with several functions that have already been developed in the system.
URI: https://accedacris.ulpgc.es/jspui/handle/10553/169866
ISBN: 9783982674117
ISSN: 1530-1591
DOI: 10.23919/DATE69613.2026.11539263
Fuente: Proceedings -Design, Automation and Test in Europe, DATE[ISSN 1530-1591], (Enero 2026)
Colección:Actas de congresos
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