Clin2
NCT06699056Likely a fitRecruiting

AI heart monitor study for ejection fraction

Ventricular Ejection FractionLVFLV DysfunctionAtrial EnlargementConduction DefectHeart FailureValvular Heart DiseaseIschemic Heart Disease

Part of Brain & nervous system, Genetic & congenital, Heart & circulation, Injuries & trauma clinical trials.

This study uses an AI-powered wearable monitor to check how well your heart pumps blood (ejection fraction) from a simple EKG recording. It may help doctors quickly assess heart function without extra tests.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
2,000 people
Ages
18 years and older
Study type
Observational

Who can take part

  • You must be 18 years or older.
  • You must be able and willing to wear a Holter monitor (a small device that records your heart's rhythm).
  • You cannot be on a breathing machine, heart pump, or kidney dialysis at the time of the study.
  • You cannot have a history of severe skin reactions to the sticky pads used for ECG monitoring.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT06763549Enrolling by invitation
AI-powered wearable patch for heart and lung monitoring

This study tests an AI-powered wearable patch (the COR ECG) to see if it can better track heart and lung health. It may help doctors find problems earlier without needing bulky equipment.

Melbourne, Florida
NCT06968533Enrolling by invitation
AI ECG for detecting low heart pumping in older adults

This trial uses an AI tool to analyze your ECG (heart tracing) to detect low pumping function. It may help find hidden heart issues early, especially if you haven't had a recent heart ultrasound.

Taipei
NCT07113223Recruiting
AI heart test for heart failure detection in people over 65

This trial uses an artificial intelligence system to analyze electrocardiograms (ECGs, which are recordings of your heart's electrical activity) to detect heart failure early. It is for people over 65 who either have symptoms that might be heart failure or have risk factors for heart failure but no current symptoms.

Madrid
NCT07488052Recruiting
Home ECG test to check heart health

This trial tests whether a simple home electrocardiogram (ECG) can be used to check your heart function. It may help find people who have a weak heart pump without needing a full heart ultrasound right away.

Taipei
NCT07057466Recruiting
AI heart check for hidden valve, pressure, or pump problems

This study uses an artificial intelligence (AI) program to read your ECG (a heart tracing) and detect early signs of heart failure, high blood pressure in the lungs, or valve disease before you have symptoms. The goal is to see if AI can catch these problems early.

Bristol
NCT06909682Recruiting
AI monitoring with wearables for chronic heart failure

This trial tests an AI system that uses wearable devices and mini-invasive tools to monitor people with chronic heart failure. The goal is to detect changes early and help manage the condition at home.

Salerno

Hear when a new LV Dysfunction trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.