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

Predictores sociodemográficos y clínicos de la adherencia a los antidepresivos en los trastornos depresivos: una revisión sistemática con un metanálisis

Himar Fabelo, Raquel Leon, Emanuele Torti, Santiago Marco, Asaf Badouh, Max Verbers, Carlos Vega, Javier Santana-Nunez, Yann Falevoz, Yolanda Ramallo-Farina, Christian Weis, Ana M Wagner, Eduardo Juarez, Claudio Rial, Alfonso Lagares, Gustav Burstrom, Francesco Leporati, Luis Jimenez-Roldan, Elisa Marenzi, Teresa Cervero, Miquel Moreto, Giovanni Danese, Svitlana Zinger, Francesca Manni, Maria Luisa Alvarez-Male, Miguel A. García-Bello, Lidia García, Jesus Morera, Juan F. Pineiro, Chrysanthi Bairaktari, Beatriz Noriega-Ortega, Bernardino Clavo, Gustavo M. Callico, STRATUM Consortium

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.

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