Algorithm development through AI for the triage of stroke patients in the ambulance with electroencephalography (AI Stroke)

EEG is a promising technique to triage stroke patients eligible for endovascular treatment in the ambulance. However the interpretation and identification of eligible patients is difficult. In AI-Stroke, we will develop recurrent neural networks capturing multi-scale information using pilot data including 1000 patients, for optimal patient selection.

This project is set to start in the second half of 2020. One vacancy is open for application.

Partners

Ambulance Amsterdam, Ambulance NHN

Researchers