A collaboration between Philips, Erasmus MC, and the Erasmus University of Rotterdam.

Dr. Molewaterplein 40, 3015 GD Rotterdam +

Burgemeester Oudlaan 50, 3062 PA Rotterdam

STROKE Lab focuses on improving the outcome of stroke patients by developing AI-based models for various stages in the patient journey and assessing these models for clinical practice. The lab is a collaboration between Erasmus MC and the Erasmus University of Rotterdam, who bring in clinical domain and academic expertise, and Philips interested in the development of products for clinical decision support.

STROKE lab focuses on improving the outcome of stroke patients, a medical and socio-economic burden that affects approximately 1 million Europeans each year, with a lifetime risk of 25% [1]. Stroke has an overall mortality of 30% and is a leading cause of death in developed countries [2], with up to half of the patients remaining permanently disabled [3]. Currently, more than 6 million Europeans live with the effects of stroke [4], resulting in enormous costs for treatment and rehabilitation amounting to €38 billion each year in Europe. Moreover, stroke occurrence is increasing in the young population [2], with an estimated 1.5 million strokes expected to occur in Europe each year by 2025.

We aim to improve the outcome of stroke patients, with benefits for the patients, and reduce socioeconomic costs associated with stroke. To do this, we will support healthcare professionals during decision-making with data-driven AI modeling tools, to improve the efficiency/effectiveness of the entire stroke patient journey, from calling 112 to rehabilitation.

The Erasmus MC will bring in the clinical domain expertise along the full patient journey (neurology, neuroradiology, rehabilitation), and collaborate with researchers from data science and biomedical image analysis, with large expertise in artificial intelligence and biostatistics. Philips is interested in the research in order to develop products for clinical decision support along the stroke patient journey, and we will work with Philips towards models to be able to learn from data without having to have access to the raw data, setting up a sandbox environment that permits such learning approaches.

[1] Meairs S, Wahlgren N, Dirnagl U, Lindvall O, Rothwell P, Baron JC, Hossmann K, Engelhardt B, Ferro J, McCulloch J, Kaste M, Endres M, Koistinaho J, Planas A, Vivien D, Dijkhuizen R, Czlonkowska A, Hagen A, Evans A, De Libero G, Nagy Z, Rastenyte D, Reess J, Davalos A, Lenzi GL, Amarenco P, Hennerici M. Stroke research priorities for the next decade–A representative view of the European scientific community. Cerebrovasc Dis. 2006;22(2-3):75-82. doi: 10.1159/000093098. PMID: 16790993.

[2] Béjot Y, Bailly H, Durier J, Giroud M. Epidemiology of stroke in Europe and trends for the 21st century. Presse Med. 2016 Dec;45(12 Pt 2):e391-e398. doi: 10.1016/j.lpm.2016.10.003. Epub 2016 Nov 2. PMID: 27816343.

[3] Hankey GJ. Long-term outcome after ischaemic stroke/transient ischaemic attack. Cerebrovasc Dis. 2003;16 Suppl 1:14-9. doi: 10.1159/000069936. PMID: 12698014.

[4] Truelsen T, Ekman M, Boysen G. Cost of stroke in Europe. Eur J Neurol. 2005 Jun;12 Suppl 1:78-84. doi: 10.1111/j.1468-1331.2005.01199.x. PMID: 15877785.

Sustainable Development Goals

Research projects

Pre-interventional stroke data & AI: aims to integrate and exploit data from different sources to optimize decision-making in suspected stroke patients.

Clinical decision support and EVT optimisation: aims to further improve EVT procedure and avoid complications.

Image-guided intervention: aims to develop AI methods for application in stroke interventions.

Rehabilitation: aims to improve the effectiveness of clinical rehabilitation for stroke survivors.

User acceptance of AI tools: aims to understand under what conditions physicians trust predictions and accept (semi-)automated control loops.


Theo van Walsum
Sandra Sülz

PHD Students

Theo van Walsum
Sandra Sülz


Erasmus University Medical Center (Erasmus University MC) based in Rotterdam, Netherlands, affiliated with Erasmus University and home to its faculty of medicine, is the largest and one of the most authoritative scientific University Medical Centers in Europe.

Erasmus University Rotterdam (EUR) is a public research university located in Rotterdam, Netherlands.

Philips is a health technology company improving people's health and well-being through meaningful innovation.

Erasmus MC - University Medical Center Rotterdam
Erasmus University Rotterdam

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