Prognostic Role of AI-Echo

Left atrial cardiomyopathy (LACM) is frequently underdiagnosed but plays a key role in increasing the risk of atrial fibrillation (AF) and thromboembolic events. While atrial strain is a validated marker of LACM, its measurement with conventional echocardiography can be time-consuming and less feasible in acute settings. The use of AI-assisted echocardiography (AI-echo) may help streamline image acquisition and analysis, offering faster and potentially more accurate assessment. This study aims to compare the time required for atrial strain analysis using AI-echo versus standard methods. It also explores how changes in strain parameters (LASr, LASct, LAScd) relate to the onset of AF and in-hospital adverse outcomes, adjusting for comorbidities and conventional echo variables. Main endpoints include time reduction with AI-echo and the association between strain changes and AF, complications, or mortality during hospitalization.

NCT Number	NCT07009639
Lead Sponsor	University of Calabria
Conditions	Atrial Cardiomyopathy
Enrollment	45 participants
Start Date	2025-07-01
Primary Completion	2025-09-01 (estimated)
Study Completion	2025-11-30 (estimated)
Updated on ClinicalTrials.gov	2025-08-11