Predicting dangerous heart rhythms with smart software
Part of Heart & circulation clinical trials.
This study uses computer software to analyze heart rhythm recordings from patients in the hospital to predict dangerous irregular heartbeats (arrhythmias). It aims to improve early detection and care for patients with heart conditions.
Summary written for real people, not researchers, by Clin2.
Who can take part
- Admitted to the hospital on or after January 1, 2023.
- Age 18 or older.
- Admitted for an urgent heart problem or a planned heart procedure.
- Continuous heart rhythm monitoring in the hospital (ICU or cardiac unit).
- No objection (opt-out) to using medical data for research.
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 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.
This study looks at people who had a heart attack or cardiac arrest to find out which dangerous heart rhythms can happen afterward. The goal is to improve care and prevent future problems.
This study looks at how the heart's electrical signals can help doctors understand if treatments prevent dangerous heart rhythms in active people. It involves people with or without heart devices like ICDs or pacemakers, and may help improve care for active individuals with heart conditions.
This study looks at how well a wearable heart monitor and special software can check the health of your whole heart and assess your risk of future heart problems. It may help doctors create more personalized care plans.
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 is testing an artificial intelligence (AI) tool that uses a simple single-lead ECG (heart rhythm recording) to predict whether a patient will develop atrial fibrillation (a common heart rhythm problem) within the next 2 hours. The goal is to help doctors detect and treat this condition earlier, potentially preventing complications.
Hear when a new Ventricular Fibrillation trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.