AI Monitors Heart Disease Indicators Quickly
Doctors in the field of artificial intelligence have developed a tool capable of detecting indicators of heart failure and valve diseases in less than two seconds by analyzing electrocardiograms and uncovering signs that may not be visible to the naked eye. Experiments involving approximately 67,000 patients in the United States demonstrated the tool's ability to identify up to 81% of heart failure cases and 90% of valve diseases. This advancement helps accelerate early diagnosis processes and reduces backlog for further tests such as echocardiography. The tool is used to enhance doctors' capacity to identify patients at higher risk of complications and to speed up treatment decisions, especially in cases where quick diagnosis is challenging. However, it is still designed to identify indicators rather than provide definitive diagnoses.
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