Artificial Intelligence for early imaging-based patient selection in acute ischemic stroke (AIRBORNE)

In stroke, assessment of salvageable and infarcted tissue is commonly performed using CTP. However, most medical centers cannot perform and interpret CTP. The aim of AIRBORNE is to AI-based tooling for the assessment of CTP using spatiotemporal decomposed convolutional networks, and synthesize CTP images using snapshot CTA and NCCT images.

This project is set to start in the second half of 2020.