CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
AI4EMS is a digital assistant designed to assist emergency medical services in identifying out-of-hospital cardiac arrest situations during emergency calls. By leveraging advanced speech analytics and artificial intelligence, it aims to improve response times and accuracy in triage decision-making.
Out-of-Hospital Cardiac Arrest (OHCA) is one of the leading causes of death worldwide.
It is a time-critical condition with survival chances decreasing by 10% with every minute of delay from collapse to defibrillation.
Currently, Emergency Medical Services (EMS) dispatchers use guidelines to recognise OHCA during emergency calls prior to activating the emergency response system. EMS are struggling as emergency calls have increased in Europe from 100 million calls in 2003 to 320 million in 2016.…
CORTI APS
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
