U.S., June 3 -- ClinicalTrials.gov registry received information related to the study (NCT07620119) titled 'Machine Learning for Diagnosis of Occlusive MI in LBBB Patients' on May 22.
Brief Summary: 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 challengi...