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AI Might Boost Detection of A-Fib

An AI program trained to analyze cardiac ultrasounds can detect abnormal heart rhythms, particularly atrial fibrillation (A-Fib), which may not be evident during routine examinations. This technology offers potential for early detection and intervention, potentially reducing the risk of heart failure and stroke. Click here for article.

  • Atrial fibrillation (A-Fib) can be challenging to detect, as it may not always manifest during routine examinations.

  • The AI program was trained on over 100,000 echocardiogram videos to distinguish between normal and abnormal heart rhythms, with a focus on identifying A-Fib.

  • It successfully predicted which patients would develop A-Fib within 90 days, outperforming traditional risk factor assessments.

  • The ability of this AI technology to detect hidden atrial fibrillation could have significant clinical implications for early intervention and prevention of associated complications.

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