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.