AI Identifies Heart Risks in Two Seconds
Imperial College London has launched a new artificial intelligence tool capable of identifying heart patients who need additional tests in less than two seconds by analyzing electrocardiograms. The tool achieves an accuracy rate of detecting 81% of heart failure cases and 90% of valve diseases, helping to prioritize examinations and reduce waiting times. However, it is not a substitute for direct medical diagnosis. This technology represents a promising step toward improving cardiac assessment, especially as the number of annual tests exceeds one billion worldwide, aiming to enhance both the speed and accuracy of medical triage.
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