Predicting sudden cardiac death may be possible using artificial intelligence (AI) to analyze medical information in electronic health records, according to preliminary research. Researchers analyzed electronic health records from 25,000 people who had died suddenly and 70,000 people hospitalized for cardiac arrest who did not die in Paris, France and Seattle, Washington and used AI to build personalized health equations that identified each person’s risk of dying from sudden cardiac arrest.
Predicting sudden cardiac death may be possible using artificial intelligence (AI) to analyze medical information in electronic health records, according to preliminary research. Researchers analyzed electronic health records from 25,000 people who had died suddenly and 70,000 people hospitalized for cardiac arrest who did not die in Paris, France and Seattle, Washington and used AI to build personalized health equations that identified each person’s risk of dying from sudden cardiac arrest. Predicting sudden cardiac death may be possible using artificial intelligence (AI) to analyze medical information in electronic health records, according to preliminary research. Researchers analyzed electronic health records from 25,000 people who had died suddenly and 70,000 people hospitalized for cardiac arrest who did not die in Paris, France and Seattle, Washington and used AI to build personalized health equations that identified each person’s risk of dying from sudden cardiac arrest.