When you are in cardiac arrest, every lost minute decreases your chance of survival by 10%, so any chance of saving those critical minutes in response to a possible cardiac arrest victim is extremely important. The AI in this case analyzes words and non-verbal sounds that indicate someone is in cardiac arrest. It is able to do that after it has trained itself to spot warning signs by analyzing a massive collection of emergency call recordings over a period of time. In one study, it was found that this startup's AI was able to detect cardiac arrest with a 95% accuracy, compared to 73% for Copenhagen’s human dispatchers...
Author: Brad Egeland