An artificial intelligence model has been developed to screen for cardiac amyloidosis, a progressive heart disease. The AI uses routine heart ultrasound images (echocardiograms) to detect the condition. It analyses a single echocardiogram video to identify cardiac amyloidosis and distinguish it from similar heart conditions.
The AI tool was validated across 18 hospitals with a diverse patient population. Testing showed the AI model correctly identified patients with cardiac amyloidosis with 85% accuracy and correctly ruled it out 93% of the time. This level of accuracy outperforms existing diagnostic methods.
Early and accurate diagnosis is crucial for effective treatment of cardiac amyloidosis. The AI model integrates easily into clinical practice, providing a practical solution for improved detection.
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