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3D Decision Support Tool for Brain Tumor Surgery

Project description

AI-based decision support tool for brain tumour surgery

Digital diagnostics play a crucial role in assisting complex medical procedures across various anatomies, including brain tumour surgery. Neurosurgeons encounter challenges such as distinguishing critical tissue from tumour margins and interpreting data from multiple devices. In this context, the EU-funded STRATUM project, which is partially a follow-up of the EU projects HELICoiD and Human Brain Project, aims to develop a 3D Decision-Support Tool for brain surgery guidance and diagnostics using AI algorithms. The project will employ a co-creation methodology, striving to advance personalised medicine, enhance the accuracy of brain tumour diagnosis during surgery, and reduce surgical duration. Additionally, it will enhance the cost and energy efficiency of neurosurgical workflows and validate the prototype through a two-year clinical study.

Objective

Integrated digital diagnostics can support complex surgeries in many anatomies where brain tumour surgery is one of the most complex cases. Neurosurgeons face several challenges during brain tumour surgeries, such as critical tissue and brain tumour margins differentiation or the interpretation of large amount of data available provided by several independent devices.

To overcome these challenges, STRATUM will develop a 3D Decision Support Tool for brain surgery guidance and diagnostics (reaching TRL7) based on multimodal data processing through Artificial Intelligence (AI) algorithms that will be integrated as an energy-efficient Point-of-Care computing tool. It will be developed following a co-creation methodology involving key stakeholders and end-users. STRATUM will pursue the following objectives:

1) To foster advances in personalized medicine based on multimodal data (including the emerging hyperspectral imaging modality) and AI.
2) To increase the intraoperative diagnostic accuracy of brain tumours, improving surgical outcomes and patients’ quality of life.
3) To reduce surgery time with respect to current neurosurgical operation durations.
4) To improve current cost- and energy-efficiency of neurosurgical workflows.
5) To demonstrate the prototype in a two-year clinical study in 3 clinical sites, including an early health technology assessment.
6) To prepare the preliminary business plan and the TRL9 roadmap after the project ending.

An optimized integration and processing of available and new emerging data sources would aid surgeons in timely efficient and correct decision-making in tissue removal. This would maximize the degree of resection while simultaneously minimize the risk of neurological deficits. Moreover, time efficient surgical procedures not only benefit the patients directly by minimizing anaesthesia time and risks of e.g. postoperative infections, but also indirectly by optimizing resources of the health care system.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-HLTH-2023-TOOL-05

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Coordinator

UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 216 750,00
Address
C/ Juan de Quesada 30
35001 Las Palmas De Gran Canaria
Spain

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Region
Canarias Canarias Gran Canaria
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 370 375,00

Participants (12)

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