AI in Healthcare February 25, 2020
An AI-powered wearable sensor can detect changes in heart failure patients before an actual crisis occurs, according to new findings published in Circulation: Heart Failure. This technology would provide significant value in cardiology, limiting hospitalization and leading to better overall patient care.
The study’s authors tracked 100 heart failure patients treated at hospitals in Utah, Texas, California and Florida. Each participant wore the adhesive patch—which measured their electrocardiogram and motion data—at all times for up to three months following their discharge from the hospital.
Overall, the device predicted the need for hospitalization in a heart failure patient more than 80% of the time. In fact, the AI’s predictions occurred an average of 10.4 days before the actual readmission occurred.
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