Clinical trial Recruiting at 1 site Observational Ages 18 and up

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 typeObservational
Ages18 Years and up
SexAll
Enrollment1157 (estimated)
SponsorCentro Cardiologico Monzino
Academic / other
Locations1 site (Milan, Lombardy)
StatusRecruiting
StartedApril 27, 2026
Main results expectedJanuary 31, 2027
Study endsJanuary 31, 2027
Registry record updatedJuly 31, 2026
Trial IDNCT07738419 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

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.