A new machine learning algorithm running on a smartwatch has shown the ability to detect sudden loss of pulse with remarkable accuracyThe algorithm has a very high specificity (99.99%) and a moderate sensitivity (67.23%) for identifying cardiac arrest casesSmartwatches with this capability could improve survival rates for people who experience cardiac arrest when they are aloneOngoing data collection from smartwatch users in real-world settings will help improve the system's accuracy and reliability