A new Yale-developed artificial intelligence (AI) platform can detect individuals at risk for amyloid cardiomyopathy, an underdiagnosed cardiac condition, using data from a quick and accessible heart test.
It screens for the condition using images from electrocardiograms (ECG), a noninvasive test that measures the heart's electrical activity.
The platform—described recently in JAMA—can help doctors detect the disease more quickly and intervene before extensive heart damage occurs.
In the new study, the team tested the model's ability to detect cases of transthyretin amyloid cardiomyopathy in eight distinct cohorts of patients across the United States and Europe.
Their findings revealed that the platform could successfully identify individuals with this disease subtype.
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