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

IF 1.9 4区计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Microprocessors and Microsystems Pub Date : 2025-05-14 DOI:10.1016/j.micpro.2025.105157

Himar Fabelo , Raquel Leon , Emanuele Torti , Santiago Marco , Asaf Badouh , Max Verbers , Carlos Vega , Javier Santana-Nunez , Yann Falevoz , Yolanda Ramallo-Fariña , Christian Weis , Ana M Wägner , Eduardo Juarez , Claudio Rial , Alfonso Lagares , Gustav Burström , Francesco Leporati , Luis Jimenez-Roldan , Elisa Marenzi , Teresa Cervero , Gustavo M. Callico

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引用次数: 0

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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STRATUM项目：基于人工智能的神经外科三维决策支持工具护理点计算

综合数字诊断正在改变复杂的外科手术，脑肿瘤手术是最具挑战性的手术之一。STRATUM是一项为期五年的Horizon欧洲资助项目，旨在开发一种先进的3D决策支持系统，利用人工智能驱动的实时多模式数据处理。STRATUM的一个关键创新是它作为一个节能的护理点计算系统的设计，无缝集成到神经外科工作流程中。该系统将为外科医生提供实时的、人工智能驱动的见解，提高决策的准确性和效率。通过优化手术精度和缩短手术时间，STRATUM有望改善患者的结果，同时简化欧洲医疗保健系统内的资源利用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Microprocessors and Microsystems 工程技术-工程：电子与电气

CiteScore

6.90

自引率

3.80%

发文量

204

审稿时长

172 days

期刊介绍： Microprocessors and Microsystems: Embedded Hardware Design (MICPRO) is a journal covering all design and architectural aspects related to embedded systems hardware. This includes different embedded system hardware platforms ranging from custom hardware via reconfigurable systems and application specific processors to general purpose embedded processors. Special emphasis is put on novel complex embedded architectures, such as systems on chip (SoC), systems on a programmable/reconfigurable chip (SoPC) and multi-processor systems on a chip (MPSoC), as well as, their memory and communication methods and structures, such as network-on-chip (NoC). Design automation of such systems including methodologies, techniques, flows and tools for their design, as well as, novel designs of hardware components fall within the scope of this journal. Novel cyber-physical applications that use embedded systems are also central in this journal. While software is not in the main focus of this journal, methods of hardware/software co-design, as well as, application restructuring and mapping to embedded hardware platforms, that consider interplay between software and hardware components with emphasis on hardware, are also in the journal scope.