McKnight’s Senior Living July 28, 2023
New digital tools are seen as a way to screen for conditions such as heart disease before they become an emergency. But the accuracy of wearables and other devices often remain an issue, particularly with more complex health problems.
One potential solution, however, involves training artificial intelligence tools on “noisy” electrocardiograms that simulate the kind of messy data readings a wearable would generate, a new study shows.
The investigation, conducted by a team of researchers at Yale, suggests that by mimicking the challenges of wearable-derived data right away, such as poor contact with the skin, AI can better detect heart problems.
A “noise adapted” AI model designed to detect heart failure performed much better than a standard version, STAT...
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