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Enrolling By Invitation NCT05791227

Safety and Efficacy Study of AI Wall Thickness Measurement (EchoNet-LVH-RCT)

Conditions: Heart Failure

Sex: All

Ages: 18 Years – 100 Years

Healthy volunteers: No

Phase: NA

Enrollment: 4000

Sponsor: Cedars-Sinai Medical Center

Location: Cedars-Sinai Medical Center Los Angeles California

Summary

To determine whether an integrated AI decision support can save time and improve accuracy of assessment of echocardiograms, the investigators are conducting a blinded, randomized controlled study of AI guided measurements of wall thickness in parasternal long axis view compared to sonographer measurements in preliminary readings of echocardiograms.

Eligibility Criteria

Inclusion Criteria: * Sonographers and cardiologists at CSMC Echocardiography Lab * All transthoracic echocardiogram studies performed in the CSMC echocardiogram lab Exclusion Criteria: * transthoracic echocardiogram studies not able to be measured by sonographers in run in period

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT05791227). StuddyBuddy aggregates publicly available trial information.