AI can estimate biological heart age from ECG data, paving the way for early detection


Daijiworld Media Network- Mumbai

Mumbai, Apr 1: In a groundbreaking development, researchers have revealed that artificial intelligence (AI) can now estimate a person’s biological heart age using electrocardiogram (ECG) data. This innovative application of AI could revolutionize cardiovascular health assessments, offering an easier and more accurate way to detect early signs of heart disease.

The AI algorithm works by analyzing the subtle patterns in ECG signals, which are typically used to measure electrical activity in the heart. By comparing these patterns with vast datasets from people with known heart conditions, the AI can predict the biological age of the heart—an indicator of how well the heart is functioning compared to the average age of a person’s heart.

Researchers believe this technology could offer significant advantages in preventive healthcare. “The ability to estimate heart age from an ECG could help doctors assess cardiovascular risk more effectively, allowing for earlier interventions and potentially better outcomes,” said a lead researcher involved in the study.

Unlike traditional methods that rely on more invasive testing or require extensive medical examinations, this AI-powered approach provides a non-invasive, quick, and cost-effective way to evaluate heart health. It also promises to be a game-changer for people without obvious symptoms of heart disease but who may be at risk due to factors like family history or lifestyle.

The findings open the door for further research into AI-driven diagnostics in cardiology, with the potential to expand the technology to other health metrics and diseases. While still in the early stages, this innovation could lead to a more personalized approach to heart health management and contribute to the global fight against cardiovascular diseases.

  

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Title: AI can estimate biological heart age from ECG data, paving the way for early detection



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