U.S., April 16 -- ClinicalTrials.gov registry received information related to the study (NCT06927791) titled 'MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions' on April 07.

Brief Summary: The research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in emergency department (ED) patients with chest pain or dyspnea with the ultimate goal of Improved diagnostic accuracy, faster patient management, and reduced medical errors.

Study Start Date: April 01, 2024

Study Type: OBSERVATIONAL

Condition: Acute Cardiovascular Disease ST-segment Elevation Myocardial...