Maximising impact of multidisciplinary research in early diagnosis of neonatal brain injury (AI-4-NICU)

 

Project no.: CA20124

Project description:

The main objective is to improve neurological outcomes in babies with brain damage by applying artificial intelligence (AI)-enhanced neuro-monitoring technologies. The dedicated AI4NICU network will create a pan-European partnership to accelerate research by pooling efforts, reaching consensus on protocols and best practices, and providing open data and algorithms.

Project funding:

COST actions


Project results:

The AI4NICU Action will create a pan-European multidisciplinary network with the clinical and technical expertise required to bring artificial intelligence (AI)-enabled decision-support tools to the neonatal intensive care unit (NICU). These AI tools build on existing cot-side technologies, such as the electroencephalogram, by including machine-learning algorithms to detect biomarkers of brain injury. AI4NICU will develop the tools necessary to acquire, pool, share, and manage data. AI4NICU will create a framework to develop, test, and compare these algorithms. AI4NICU will expand the research community, consolidate existing fragmented efforts, and create and enhance productive synergies.
Working with all stakeholders, AI4NICU will identify roadblocks to clinical implementation and propose designs for clinically useful prototypes. This Action will address the urgent, unmet need to reduce the potentially catastrophic life-long consequences of neonatal brain injury.

Period of project implementation: 2021-10-19 - 2025-10-18

Project partners: Belgium, Bosnia and Herzegovina, Estonia, Ireland, Israel, Moldova, Poland, Portugal, Spain, United Kingdom, Croatia, Serbia, Turkey

Head:
Robertas Alzbutas

Duration:
2021 - 2025

Department:
Department of Applied Mathematics, Faculty of Mathematics and Natural Sciences