Actively Recruiting

Age: 18Years - 85Years
All Genders
NCT07009639

Prognostic Role of AI-Echo

Led by University of Calabria · Updated on 2025-08-11

45

Participants Needed

1

Research Sites

21 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

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.

CONDITIONS

Official Title

Prognostic Role of AI-Echo

Who Can Participate

Age: 18Years - 85Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Age between 18 and 85 years
  • Hospitalized in cardiac care unit for acute cardiac conditions such as acute coronary syndrome, heart failure, or malignant arrhythmias
  • Able to provide written informed consent
Not Eligible

You will not qualify if you...

  • Severe hemodynamic instability or any condition contraindicating echocardiographic examination
  • Severely inadequate echocardiographic window preventing assessment of atrial or ventricular function
  • Inability to continue the study due to clinical reasons, logistics, or patient refusal

AI-Screening

AI-Powered Screening

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Trial Site Locations

Total: 1 location

1

"Annunziata" Hospital

Cosenza, Italy, 87100

Actively Recruiting

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Research Team

A

Antonio Curcio, Medicine

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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