ML-based diagnosis of blocked arteries in patients with a left bundle branch block

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study collects digital 12-lead ECG data from adults with chest pain and known or suspected left bundle branch block who undergo invasive coronary angiography. A machine learning model will be developed and tested to predict true coronary occlusion from raw ECG waveforms. The research aims to determine whether AI can improve rapid identification of acute myocardial infarction in this challenging subgroup. Enrollment requires consent and an index hospital admission with angiography performed. The study analyzes ECG signals and invasive imaging to correlate ML predictions with angiographic findings.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients aged 18 years and older who present to the emergency department. Patients presenting with acute ischemic chest pain or clinical ischemia-equivalent symptoms (such as acute dyspnea, unexplained diaphoresis, or syncope).

Patients with a confirmed Left Bundle Branch Block (LBBB) on their initial 12-lead electrocardiogram (ECG), which can be either newly developed or known/chronic.

Patients who undergo invasive coronary angiography during their index hospital admission.

Patients or their legally authorized representatives who provide written informed consent to participate in the study.

Exclusion Criteria:

* Patients under the age of 18. Pregnant or lactating women. Patients with poor-quality or uninterpretable digital ECG recordings due to severe artifact, missing leads, or technical errors.

Patients who develop cardiopulmonary arrest before an initial diagnostic 12-lead ECG can be obtained in the emergency department.

Patients transferred from another healthcare facility who have already undergone coronary angiography or revascularization.

Patients who decline to participate or refuse to provide written informed consent.

Where it's running

• Konya City Hospital
  Konya, Karatay, Turkey (Türkiye) Recruiting

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.