AI-Powered ECG could spot hidden heart disease faster
NCT ID NCT05557162
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether an artificial intelligence (AI) tool could help doctors detect cardiac amyloidosis, a rare but serious heart condition, earlier using standard ECG tests. Over 20,000 patients were involved, with some doctors using the AI-enhanced ECG and others continuing usual care. The goal was to see if the AI tool leads to more and earlier diagnoses.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CARDIAC AMYLOIDOSIS are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Mayo Clinic Health System - Eau Claire
Eau Claire, Wisconsin, 54701, United States
-
Mayo Clinic in Arizona
Scottsdale, Arizona, 85259, United States
-
Mayo Clinic in Florida
Jacksonville, Florida, 32224, United States
-
Mayo Clinic in Rochester
Rochester, Minnesota, 55905, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Liver clues: a new way to stage heart amyloidosis?
- A carpal tunnel clue to a silent heart threat?
- Heart scans may unlock hidden risks in minority communities
- Pacemaker signals may unmask a rare heart condition
- Can an AI spot hidden heart disease that doctors miss?
- AI eye on the heart: could a computer catch a rare, Often-Missed disease?