AI Stroke Treatment Model

Researchers are developing an AI-powered computer model to assist doctors in treating stroke patients. The system aims to predict long-term outcomes and potential complications following mechanical thrombectomy, a minimally invasive procedure. This will help doctors determine the most effective therapy on a case-by-case basis. The project utilises 'Swarm Learning,' an AI technology that enables secure analysis of distributed medical data. The goal is to establish a network of clinics across Germany and beyond, all benefiting equally from the collective data, regardless of individual data quantities. The project is funded by the Helmholtz Association with 250,000 euros, with involvement from the CISPA Helmholtz Center for Information Security.