Techstrong.ai posted that researchers at Imperial College London trained an AI model called Cardiovolt on millions of ECGs linked to medical histories. The post states the model detects patterns associated with heart failure, valve disease, and future risk in about two seconds. It adds that roughly one billion ECGs occur worldwide each year. The tweet supplies no accuracy figures beyond an incomplete mention and presents no independent confirmation or first-party announcement from the college.