Researchers have developed an AI-based model, named WARN, that can forecast cardiac arrhythmia, commonly known as irregular heartbeat, approximately 30 minutes before its occurrence. The model exhibits an impressive 80% accuracy in predicting the transition from a normal cardiac rhythm to atrial fibrillation, the most prevalent form of cardiac arrhythmia. By leveraging deep-learning techniques, a subset of machine-learning AI algorithms, WARN learns patterns from historical data to forecast cardiac arrhythmias, enabling patients to take preemptive measures to maintain stable cardiac rhythm.