Detecting cardiac amyloidosis using AI and the ECG [Video]

Amyloidosis is a rare disease of misfolded proteins that go astray to form deposits of amyloid in organs, nerves and tissues. There are several different types, but when enough amyloid builds up in the heart, it causes heart failure and symptoms such as shortness of breath, fluid buildup and fainting. Patients also can have heart rhythm problems and might need a pacemaker. Early diagnosis is critical because, while amyloidosis is not curable, it is treatable with new medical therapies that can dramatically reduce the amount of amyloid produced and stop disease progression.

Using ECG-AI, clinicians at Mayo Clinic can potentially flag patients who are in the early stages of cardiac amyloidosis. The technology is used in research and has FDA breakthrough device designation.

“We’ve done some research indicating that, if we apply artificial intelligence just to the electrocardiogram, we can suggest if the patient has the diagnosis, often before a clinician has even suspected it. So we believe that this is a way to make an early diagnosis,” says Martha Grogan, M.D., a cardiologist at Mayo Clinic in Rochester, Minnesota. “Now, it has to be put in clinical context. It’s not just that one AI ECG, but it can really help us suspect amyloidosis.”
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