Can AI and Speech Technology Save Lives by Predicting Cardiac Arrest?

If you live in Europe, potentially life-saving technology may be coming your way this summer thanks to a Danish company. EENA (European Emergency Number Association) and AI developer Corti announced a call for applications for emergency services control rooms to take part in a new project.

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 what it says are 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.
 

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 six 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.