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| Title: | Multi Partner Project: STRATUM, co-creation protocol and advanced smart GUI for a 3D neurosurgery supporting tool | Authors: | 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. |
UNESCO Clasification: | 3314 Tecnología médica | Keywords: | Brain Tumour Detection Hpc Multimodal Imaging Neurosurgery Poc Computing |
Issue Date: | 2026 | Conference: | Design, Automation and Test in Europe (DATE 2026) | Abstract: | 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 | Source: | Proceedings -Design, Automation and Test in Europe, DATE[ISSN 1530-1591], (Enero 2026) |
| Appears in Collections: | Actas de congresos |
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