STRATUM Project: AI-based Point of Care Computing for Neurosurgical 3D Decision Support Tools

STRATUM Consortium; Himar  Fabelo; Max Verbers; Svitlana Zinger; Francesca Manni

doi:10.1016/j.micpro.2025.105157

STRATUM Project: AI-based Point of Care Computing for Neurosurgical 3D Decision Support Tools

STRATUM Consortium
, Himar Fabelo (Corresponding author)
, Max Verbers
, Svitlana Zinger
, Francesca Manni

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

57 Downloads (Pure)

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.

Original language	English
Article number	105157
Number of pages	13
Journal	Microprocessors and Microsystems
Volume	116
DOIs	https://doi.org/10.1016/j.micpro.2025.105157
Publication status	Published - Jul 2025

Funding

This work has been developed under the STRATUM project which received funding from the European Union\u2019s Horizon Europe Programme HORIZON-IA action under grant agreement No 101137416 . Finally, the members of the STRATUM Consortium are detailed in https://www.stratum-project.eu/stratum-consortium-members/ and https://zenodo.org/records/15105148 .

Keywords

Multimodal imaging
European project
Point-of-care computing
Artificial intelligence
High-performance computing
Neurosurgery
Brain tumour

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title = "STRATUM Project: AI-based Point of Care Computing for Neurosurgical 3D Decision Support Tools",

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.",

keywords = "Multimodal imaging, European project, Point-of-care computing, Artificial intelligence, High-performance computing, Neurosurgery, Brain tumour",

author = "\{STRATUM Consortium\} and Himar Fabelo and Raquel Leon and Emanuele Torti and Santiago Marco and Asaf Badouh and Max Verbers and Carlos Vega and Javier Santana-Nu{\~n}ez and Yann Falevoz and Yolanda Ramallo-Fari{\~n}a and Christian Weis and W{\"a}gner, \{Ana M.\} and Eduardo Juarez and Claudio Rial and Alfonso Lagares and Gustav Burstr{\"o}m and Francesco Leporati and Luis Jimenez-Roldan and Elisa Marenzi and Teresa Cervero and Miquel Moreto and Giovanni Danese and Svitlana Zinger and Francesca Manni and Alvarez-Male, \{Maria Luisa\} and Garc{\'i}a-Bello, \{Miguel A.\} and Lidia Garc{\'i}a and \{Morera Molina\}, Jesus and Pi{\~n}eiro, \{Juan F.\} and Chrysanthi Bairaktari and Beatriz Noriega-Ortega and Bernardino Clavo and \{Marrero Callic{\'o}\}, Gustavo",

year = "2025",

month = jul,

doi = "10.1016/j.micpro.2025.105157",

language = "English",

volume = "116",

journal = "Microprocessors and Microsystems",

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AU - STRATUM Consortium

AU - Fabelo, Himar

AU - Leon, Raquel

AU - Torti, Emanuele

AU - Marco, Santiago

AU - Badouh, Asaf

AU - Verbers, Max

AU - Vega, Carlos

AU - Santana-Nuñez, Javier

AU - Falevoz, Yann

AU - Ramallo-Fariña, Yolanda

AU - Weis, Christian

AU - Wägner, Ana M.

AU - Juarez, Eduardo

AU - Rial, Claudio

AU - Lagares, Alfonso

AU - Burström, Gustav

AU - Leporati, Francesco

AU - Jimenez-Roldan, Luis

AU - Marenzi, Elisa

AU - Cervero, Teresa

AU - Moreto, Miquel

AU - Danese, Giovanni

AU - Zinger, Svitlana

AU - Manni, Francesca

AU - Alvarez-Male, Maria Luisa

AU - García-Bello, Miguel A.

AU - García, Lidia

AU - Morera Molina, Jesus

AU - Piñeiro, Juan F.

AU - Bairaktari, Chrysanthi

AU - Noriega-Ortega, Beatriz

AU - Clavo, Bernardino

AU - Marrero Callicó , Gustavo

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AB - 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.

KW - Multimodal imaging

KW - European project

KW - Point-of-care computing

KW - Artificial intelligence

KW - High-performance computing

KW - Neurosurgery

KW - Brain tumour

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DO - 10.1016/j.micpro.2025.105157

M3 - Article

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JO - Microprocessors and Microsystems

JF - Microprocessors and Microsystems

M1 - 105157

ER -

STRATUM Project: AI-based Point of Care Computing for Neurosurgical 3D Decision Support Tools

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