AI tech detects hidden heart disease doctors often miss

A team of researchers at Columbia University has developed an AI-powered tool called EchoNext that can detect structural heart disease from routine electrocardiograms (ECGs). Structural heart disease, which can lead to heart failure, often goes unnoticed until it becomes severe, as it may not exhibit any symptoms in the early stages. EchoNext analyzes ECG data and can identify patterns that indicate the presence of structural heart disease, even when trained medical professionals might overlook them. This early detection capability can be crucial, as it allows for timely intervention and treatment, potentially preventing the progression of the condition. The researchers have tested the tool on a large dataset and found that it outperforms traditional methods in identifying structural heart disease. This AI-based approach could revolutionize the way cardiac conditions are diagnosed, making it easier for healthcare providers to detect and address heart disease in its early stages.