Clin2
NCT06887699Likely a fitRecruiting

AI ECG for heart attack care in emergency

OMI - Occlusion Myocardial InfarctionArtificial Intelligence (AI)ElectrocardiogramCost-effectiveness Analysis

Part of Heart & circulation clinical trials.

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.

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

Phase
N/A
Enrollment
212,000 people
Ages
18 years and older
Study type
Interventional

Who can take part

  • You are being seen in the emergency department.
  • You have had at least one electrocardiogram (ECG or EKG, a heart tracing) during this visit.
  • Your ECG was not done during a time when the artificial intelligence (AI) system was turned off.
  • You have not had a coronary angiogram (a special X-ray of your heart's arteries) in the last 3 days.

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.

NCT07217236Recruiting
AI ECG to predict need for heart device

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.

Taipei
NCT07844434Not yet recruiting
AI heart analysis with standard and simple ECGs

This study tests whether artificial intelligence (AI) can analyze heart signals from a standard 12-lead ECG and a simpler 1-lead ECG. Participants will have an extra ECG taken during their regular visit, which takes just a few extra minutes and helps doctors learn if AI can spot heart issues from a simpler test.

Incheon, Incheon
NCT07179185Not yet recruiting
Checking if artificial intelligence helps reduce ECG reading errors

This trial looks at whether artificial intelligence can help doctors read electrocardiograms (ECGs), which are heart tests, more accurately. It aims to reduce mistakes in interpreting normal ECGs.

NCT07626060Recruiting
AI Tools for Chest Pain Risk Assessment

This study tests whether artificial intelligence (AI) programs can accurately calculate a chest pain risk score to help doctors decide who needs urgent heart tests. You'll be monitored for 30 days to see if the AI's predictions were correct.

Istanbul, Istanbul
NCT06847932Recruiting
AI ECG to detect early atrial fibrillation

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.

Taipei
NCT07077057Recruiting
AI tool for heart attack detection

This trial tests an artificial intelligence system that helps doctors quickly identify heart attacks (myocardial infarction) in patients with symptoms like chest pain or shortness of breath. It aims to speed up diagnosis and treatment.

Lugano, Canton Ticino

Hear when a new Artificial Intelligence (AI) trial opens

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