AI-Powered ECG could spot hidden heart failure in minutes
NCT ID NCT07270692
First seen Jan 08, 2026 · Last updated May 25, 2026 · Updated 22 times
Summary
This study aims to train an artificial intelligence (AI) algorithm to detect when the heart's pumping strength is low (ejection fraction ≤ 40%) using a simple 3-lead ECG and heart sounds. Researchers will collect recordings from 500 adults who have recently had an echocardiogram. The goal is to create a faster, more accessible screening tool for heart problems.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for LOW EJECTION FRACTION are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
P. D. Hinduja Hospital and Medical Research Centre
RECRUITINGMumbai, Maharashtra, 400016, India
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
Explore the condition pages connected to this study.