AI analyzes your ECG to help in high-risk heart rhythm cases
Part of Heart & circulation clinical trials.
This trial uses an AI program to review ECG heart-tracing data collected from short-term monitoring devices. It aims to see whether the AI can better detect concerning heart rhythm patterns in people who are high risk for heart rhythm or heart problems.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You have had a concerning heart rhythm or ECG pattern, such as fast rhythms, abnormal ECG findings, or dangerous rhythm issues (or a related high-risk heart situation).
- You have a suspected or known heart problem (for example heart failure, past rhythm problems, coronary artery disease, cardiomyopathy, or you have a pacemaker/ICD).
- You have an ECG recording from a short-term medical heart monitor that includes at least one signal channel.
- You must be able to export your ECG tracing as raw data (the exact recording data), not just a summary.
- The ECG raw data you have must be available and of good enough quality for analysis, and you must agree to participate (or have a legal representative sign if you cannot consent).
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.
This study tests an artificial intelligence (computer) tool that looks at your ECG (heart tracing) to help detect abnormal heart electrical patterns and the risk of dangerous rhythm problems. You may be helping clinicians screen for rhythm risk using ECG data.
This study uses an AI tool to look at your ECG (a simple heart test) to help find early signs of atrial fibrillation (an irregular heartbeat) or structural heart disease (changes in heart structure). It aims to see if the AI can help doctors catch these conditions sooner, even in people who don't yet have symptoms.
This trial is testing a new way to analyze your heart's electrical signal (ECG) to help doctors find heart problems earlier. It is for people who may have risk factors for heart disease, but are not currently having a heart attack or have had bypass surgery.
This trial uses artificial intelligence to analyze your ECG to see if you might be at risk for needing a heart device like a pacemaker. It's a way to check your heart health early.
This trial uses an artificial intelligence system to analyze your electrocardiogram (ECG) results and alert your care team if you might be developing atrial fibrillation. It aims to catch this common heart rhythm problem early, so you can get treatment sooner.
This trial is testing whether using artificial intelligence to read ECGs in the emergency department helps doctors better manage heart attacks, especially under a new payment system. It may help speed up treatment and improve care.
Hear when a new Cardiomyopathies trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.