Diagnostic Accuracy of a Deep Learning-Based Software for Automated Multiparametric Echocardiographic Measurements
PANECHO
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)
1 other identifier
observational
1,157
1 country
1
Brief Summary
Transthoracic echocardiography is an essential imaging modality for the diagnosis and follow-up of cardiovascular diseases. Comprehensive echocardiographic assessment requires multiple quantitative measurements of cardiac structure and function, which are time-consuming and highly dependent on operator expertise. US2.AI (Us2.v1) is an artificial intelligence (deep learning)-based software designed to automatically analyze standard two-dimensional and Doppler echocardiographic DICOM video clips acquired from different ultrasound vendors. The software provides automated measurements of cardiac morphology and function, including chamber dimensions and volumes, left and right ventricular systolic and diastolic function, myocardial strain, and Doppler-derived parameters, generating a comprehensive echocardiographic report based on current international guideline recommendations. In addition, the software may assist in identifying echocardiographic features suggestive of several cardiovascular conditions, including heart failure, pulmonary hypertension, hypertrophic cardiomyopathy, cardiac amyloidosis, valvular heart disease, and ischemic cardiomyopathy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2026
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 27, 2026
CompletedFirst Submitted
Initial submission to the registry
July 27, 2026
CompletedFirst Posted
Study publicly available on registry
July 31, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
January 31, 2027
July 31, 2026
July 1, 2026
9 months
July 27, 2026
July 27, 2026
Conditions
Outcome Measures
Primary Outcomes (3)
Agreement between AI-derived and expert-derived echocardiographic measurements across predefined patient subgroups
Comparison of the agreement between automated and expert-derived measurements in predefined subgroups, including participants with normal echocardiographic findings and those with specific cardiovascular diseases.
January 2027
Agreement between AI-derived and expert-derived echocardiographic measurements
Agreement between automated echocardiographic measurements generated by the US2.AI software and manual measurements performed by experienced echocardiographers (reference standard) across standard two-dimensional, Doppler, and strain parameters.
Jan 2027
Time required for echocardiographic analysis
Comparison of the time required to obtain a complete set of echocardiographic measurements using manual analysis by experienced echocardiographers versus automated analysis by the US2.AI software.
January 2027
Secondary Outcomes (1)
Agreement between AI-assisted and expert final echocardiographic diagnoses
January 2027
Study Arms (1)
Prospective Cohort
Consecutive adult patients referred for clinically indicated standard transthoracic echocardiography at seven high-volume echocardiography laboratories will be enrolled. Echocardiographic examinations will be performed according to routine clinical practice by experienced operators. Standard two-dimensional, Doppler, and other clinically indicated measurements required for the diagnostic report will be obtained manually by expert echocardiographers and automatically by the artificial intelligence software (US2.AI). No additional study-specific imaging procedures or follow-up visits are planned.
Eligibility Criteria
Consecutive adult patients undergoing clinically indicated standard transthoracic echocardiography at seven high-volume echocardiography laboratories with experienced operators.
You may qualify if:
- 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.
You may not qualify if:
- Age \<18 years.
- Frequent and/or complex cardiac arrhythmias during echocardiographic examination.
- Suboptimal echocardiographic images.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Centro Cardiologico Monzinolead
- Azienda Ospedaliero Universitaria Policlinico Modenacollaborator
- Universita di Veronacollaborator
- Monaldi Hospital, Napoli, Italycollaborator
- ASST Grande Ospedale Metropolitano Niguardacollaborator
- Policlinico G . Martino, Messina Italycollaborator
- Ospedale San Giovanni Evangelista Tivolicollaborator
Study Sites (1)
Centro Cardiologico Monzino, IRCCS
Milan, Lombardy, 20132, Italy
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 27, 2026
First Posted
July 31, 2026
Study Start
April 27, 2026
Primary Completion (Estimated)
January 31, 2027
Study Completion (Estimated)
January 31, 2027
Last Updated
July 31, 2026
Record last verified: 2026-07