Clin2
NCT07620119Possibly a fitRecruiting

AI-assisted heart attack diagnosis in patients with LBBB

Acute Myocardial Infarction (AMI)Left Bundle Branch BlockCoronary Occlusion/ThrombosisChest PainMyocardial Infarction

Part of Heart & circulation, Pain clinical trials.

This study tests whether artificial intelligence can help doctors more accurately diagnose heart attacks in patients who have a specific heart rhythm pattern called Left Bundle Branch Block (LBBB). The goal is to improve emergency care by reducing delays in identifying who needs urgent treatment.

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

Phase
N/A
Enrollment
50 people
Ages
18 years and older
Study type
Observational

Who can take part

  • You are 18 years old or older
  • You came to the emergency department with chest pain or symptoms like shortness of breath, unusual sweating, or fainting
  • Your initial heart rhythm test (ECG) shows a Left Bundle Branch Block pattern
  • You had a heart catheterization (a procedure where doctors look at your heart's blood vessels) during this hospital visit
  • You can provide written consent to participate

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.

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