A Scoping Review On Aging And Cardiovascular Diseases - Molecular Mediators And Artificial Intelligence-Based Advanced Diagnostic Methods
Heart disease remains a leading cause of death globally, and its risk naturally increases as we get older. However, simply knowing someone’s chronological age (how many years they’ve lived) doesn’t always tell the full story of their heart health. What truly matters is “biological age” – essentially, how old your body functions physiologically.
Recent advancements in artificial intelligence (AI) are revolutionizing how we understand and predict heart conditions. AI models can now analyze various types of medical data, such as electrocardiograms (ECGs), medical images, and other biological markers, to estimate a person’s biological age. This AI-derived biological age has shown remarkable potential, consistently offering valuable insights into a person’s risk for cardiovascular problems like heart failure, irregular heartbeats (atrial fibrillation), and stroke, even more so than their actual age alone.
The difference between your AI-predicted biological age and your chronological age, often called an “age gap,” has been linked to increased risks for these serious heart conditions. This means that if your body appears biologically older than your actual years, you might be at a higher risk. This technology holds immense promise for earlier detection of heart disease and for developing more personalized treatment plans. While these AI tools are very promising, further research is needed to standardize and validate them before they become a routine part of clinical care.
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