Automated Echocardiography Measurements Using Deep-Learning Software
Official title: PANECHO: Diagnostic Accuracy of a Deep Learning-Based Artificial Intelligence Software Developed for Automated Multiparametric Echocardiographic Measurements From Echocardiographic Video Images: A Multicenter Study of the Italian Society of Echocardiography and Cardiovascular Imaging (SIECVI)
Run by Centro Cardiologico Monzino · NCT07738419 · Data updated 2026-11-12
This study tests whether US2.AI can automatically measure heart structure and function from standard echocardiograms as accurately as expert clinicians in adults.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1157 (estimated) |
| Sponsor | Centro Cardiologico Monzino Academic / other |
| Locations | 1 site (Milan, Lombardy) |
| Status | Recruiting |
| Started | April 27, 2026 |
| Main results expected | January 31, 2027 |
| Study ends | January 31, 2027 |
| Registry record updated | July 31, 2026 |
| Trial ID | NCT07738419 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) undergoing clinically indicated transthoracic echocardiography with adequate image quality and able to provide informed consent.
✕Probably not a fit
Patients with poor image quality or arrhythmias that interfere with measurements may not benefit from the software.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a prospective, multicenter, non-profit observational study evaluating the diagnostic accuracy of the US2.AI deep learning software for automatic echocardiographic measurements. Automated outputs include chamber dimensions, volumes, ventricular function, strain, and Doppler parameters, aligned with current guidelines. The software will be compared against measurements from experienced echocardiographers to assess agreement and reliability in routine clinical practice. The aim is to determine if AI-assisted analysis can standardize measurements and support comprehensive evaluation, especially where expert analysis is limited. No interventions are performed; participants are undergoing standard clinically indicated echocardiography.
Why it matters
Potential benefit: If successful, the software could streamline echocardiographic analysis and reduce dependence on operator expertise.
How similar studies have gone: Previous work in AI-driven echocardiography has shown promise in measurement consistency, but real-world diagnostic accuracy across centers remains under evaluation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged 18 years or older. * Undergoing clinically indicated standard transthoracic echocardiography. * Adequate echocardiographic image quality for automated and expert analysis. * Written informed consent provided prior to study participation. Exclusion Criteria: * Age \<18 years. * Frequent and/or complex cardiac arrhythmias during echocardiographic examination. * Suboptimal echocardiographic images.
Where it's running
-
Centro Cardiologico Monzino, IRCCS
Milan, Lombardy, Italy Recruiting
Study contacts
- Study coordinator: Laura Fusini, MD
- Email: laura.fusini@cardiologicomonzino.it
- Phone: 0258002909
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.