25 April 2018, Slovenia. Today at the annual EENA Conference, EENA and leading AI developer Corti announced a call for applications for emergency services control rooms to take part in an exciting new project. The project has the potential to save thousands of lives and change forever the way emergency medical calls are handled.
What is the project about?
Corti’s system is an Artificial Intelligence-based speech analysis of real-time, live emergency medical services calls that makes instant predictions to detect out-of-hospital cardiac arrests… with up to 95% accuracy. Used in conjunction with human call-takers and dispatchers, it can significantly reduce error rates and make critical diagnoses faster.
The system is already up and running in Copenhagen with impressive results – which is why EENA is getting involved to extend the project. Four new pilot sites will be selected to start running Corti’s tool from late summer/early September 2018 to April 2019.
What is the timeline?
Four pilot sites, from four different countries, will be chosen by June 2018. When the model is trained to a level where the artificial intelligence can reach the targeted accuracy, the pilot site will then be able to test it with their local personnel. After 6 months of testing, Corti, EENA, and the four pilot sites will prepare a report with the results of the pilot project to be presented at the EENA Conference 2019.