A recent international study has revealed that artificial intelligence (AI) can predict the risk of life-threatening heart rhythm disturbances up to 14 days before they occur. Using a dataset of more than 240,000 electrocardiograms (ECGs), researchers trained an AI model that demonstrated nearly 80% accuracy in forecasting fast ventricular tachycardia, a dangerous arrhythmia that can lead to sudden cardiac arrest.
Dr. Kumar Narayanan, a senior cardiologist from Medicover Hospital in Hyderabad and the only Indian researcher involved in the study, emphasized the potential of this technology to transform how doctors assess and manage cardiac risk. “This model enables us to identify vulnerable patients early, often before symptoms appear, which opens the door for timely intervention and possibly prevents fatal events,” he noted.
The AI model works by detecting subtle patterns in ECG signals that may go unnoticed in routine analysis. These hidden indicators are linked to electrical instability in the heart, which can precede severe arrhythmias. By flagging at-risk patients, clinicians could consider options such as closer monitoring, medication adjustments or preventive procedures.
Sudden cardiac arrest is a leading cause of death worldwide and is responsible for an estimated 400,000 to 500,000 deaths annually in India. Experts believe that integrating AI into regular cardiac screening could play a major role in reducing this toll.
Disclaimer: This article is for informational purposes only and is not intended as medical advice. Individuals concerned about heart health should consult a qualified healthcare provider for personalized assessment and care.
