Diagnostic Accuracy of a Deep Learning-Based Software for Automated Multiparametric Echocardiographic Measurements
NCT07738419 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1157
Last updated 2026-07-31
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.
Conditions
- Echocardiography
- Artificial Intelligence
- Diagnostic Imaging
Sponsors & Collaborators
-
Azienda Ospedaliero Universitaria Policlinico Modena
collaborator OTHER -
Universita di Verona
collaborator OTHER -
Monaldi Hospital, Napoli, Italy
collaborator UNKNOWN -
ASST Grande Ospedale Metropolitano Niguarda
collaborator OTHER -
Azienda Ospedaliera Universitaria Policlinico "G. Martino"
collaborator OTHER -
Ospedale San Giovanni Evangelista Tivoli
collaborator UNKNOWN -
Centro Cardiologico Monzino
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-04-27
- Primary Completion
- 2027-01-31
- Completion
- 2027-01-31
Countries
- Italy
Study Locations
More Related Trials
-
AI-based Echocardiographic Quantification in Heart Failure
NCT07010952 ·Status: NOT_YET_RECRUITING
-
Artificial Intelligence and Smart Wearable Technologies for Early Detection of Acute Heart Failure
NCT05591443 ·Status: NOT_YET_RECRUITING
-
Deep Learning Detection of Pulmonary Hypertension and Low Ejection Fraction Via Digital Stethoscope and 3-Lead ECG
NCT07087613 ·Status: RECRUITING
-
AI-Optimized Single-Feature Recognition Model for Heart Failure
NCT07667452 ·Status: RECRUITING
-
Decision Support System for Diagnosis and Progression of Heart Failure
NCT06377319 ·Status: NOT_YET_RECRUITING
-
Assessment of Left Ventricular Filling Pressure by Applying Artificial Intelligence Algorithms to Left Atrial Speckle-tracking Echocardiography
NCT05768698 ·Status: RECRUITING
-
Point of Care Artificial Intelligence Tool for Heart Failure Diagnosis
NCT04601415 ·Status: COMPLETED
-
Prediction of Outcome by Echocardiography in Left Bundle Branch Block
NCT04293471 ·Status: RECRUITING
-
Early Warning and Classification Model for Acute Non-traumatic Chest Pain
NCT06196307 ·Status: RECRUITING
-
Human Algorithm Interactions for Acute Respiratory Failure Diagnosis
NCT06098950 ·Status: COMPLETED ·Phase: NA
-
Utilising AI Analysis of Sounds To prEdict heaRt failurE decOmpensation
NCT06555757 ·Status: RECRUITING
-
Pre-Symptomatic Detection of Impending Decompensation in Heart Failure Through Voice Data
NCT07443969 ·Status: ACTIVE_NOT_RECRUITING
-
Evaluation of Clinical Intelligence Support to Reduce Errors in Normal ECGs
NCT07179185 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Applying Artificial Intelligence to the 12 Lead ECG for the Diagnosis of Pulmonary Hypertension: an Observational Study
NCT05942859 ·Status: ENROLLING_BY_INVITATION
-
Echocardiographic Analysis by Artificial Intelligence in Hypertension
NCT06680986 ·Status: RECRUITING
-
Heart Failure Monitoring With a Portable Ultrasound Device With Artificial Intelligence Assisted Tools: A Multi-Phase Observational Feasibility Study
NCT05594940 ·Status: TERMINATED
-
Focused Cardiac Ultrasound
NCT03887286 ·Status: COMPLETED ·Phase: NA
-
Comparison of Three-dimensional and Two-dimensional Left Ventricle Strain With Speckle-tracking Echocardiography in Heart Failure With Reduced and Mildly Reduced Ejection Fraction.
NCT07741305 ·Status: RECRUITING
-
Magnetocardiography (MCG) Device Use in Patients With Elevated Troponin
NCT06620744 ·Status: COMPLETED ·Phase: NA
-
Normal Values of Cardiac Measurements by Echocardiography in Chinese Based on Artificial Intelligence
NCT06234241 ·Status: COMPLETED
-
Evaluation of Cardiopulmonary Diseases by Ultrasound
NCT02248831 ·Status: COMPLETED ·Phase: NA
-
Cardiac Flow Measurements in Pregnant Women by Non Invasive Techniques
NCT06114147 ·Status: RECRUITING ·Phase: NA
-
Noninvasive Real-time Intracardiac Pressure Measurements Using Subharmonic Ultrasound
NCT03245255 ·Status: COMPLETED ·Phase: PHASE2
-
Prospective Evaluation of AI-ECG for SHD Detection
NCT07057466 ·Status: RECRUITING
-
Deployment and Evaluation of Artificial Intelligence Software for Electrocardiogram Analysis and Management in Primary Care
NCT06637293 ·Status: NOT_YET_RECRUITING ·Phase: NA