NCT07620119Recruiting
Machine Learning for Diagnosis of Occlusive MI in LBBB Patients
Development of a Machine Learning Model for the Diagnosis of Occlusive Myocardial Infarction in the Setting of Left Bundle Branch Block
Source: ClinicalTrials.gov · Last updated 2 Jun 2026
Brief summary (registry, in English)
This study investigates a new way to diagnose severe heart attacks in patients who have a specific electrical heart pattern called a Left Bundle Branch Block (LBBB). When patients present to the emergency department with chest pain, doctors routinely perform an electrocardiogram (ECG) to check for a heart attack. However, the presence of an LBBB can alter the heart's electrical signals on the ECG, effectively masking or hiding the typical signs of an ongoing acute coronary occlusion (a completely blocked artery). This making it highly challenging for emergency physicians to make an accurate and rapid diagnosis. The primary purpose of this prospective and observational research is to develop and evaluate an artificial intelligence/machine learning (ML) model that can analyze digital 12-lead ECG signals to accurately predict a true blocked coronary artery in patients with LBBB. The machine learning model will analyze raw digital ECG waveforms to detect subtle, microscopic patterns that might be missed by the human eye. To confirm the accuracy of the model, its predictions will be compared directly with invasive coronary angiography results, which is the gold standard reference method used to visualize blocked vessels. Additionally, the study aims to evaluate if the model can differentiate between a true heart attack caused by a blocked artery (Type 1 MI) and other non-occlusive conditions that cause elevated heart enzymes (Type 2 MI). Ultimately, the investigators intend to determine whether integrating this machine learning tool into emergency care can safely reduce the rate of unnecessary emergency invasive procedures for patients who do not have a true coronary blockage.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 50 (estimated)
- First submitted
- 22 May 2026
- Start date
- Jun 2026
- Primary completion date
- Dec 2026
- Lead sponsor
- Konya City Hospital
- Diseases
- Coronary artery disease
- NCT number
- NCT07620119
What you commit to
- Study type: Observational
- Planned participants: 50
- From Jun 2026 to the primary completion date, Dec 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Age
- 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.
Who the study is looking for
- 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.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Konya City Hospital Coordinator of this site? Confirm its status | Konya | Turkey (Türkiye) | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.