Cedars-Sinai Medical Center
Los Angeles, California, 90048, United States
NCT Number: NCT05140642
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 left ventricular ejection fraction compared to sonographer measurements in preliminary readings of echocardiograms.
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Notify Me18 year–110 year
All sexes
Interventional
Not applicable
Los Angeles, California, 90048, United States
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A semantic segmentation deep learning model will identify the left ventricle and label the left ventricle. The AI model will produce an assessment of LVEF using video based features.
Standard practice sonographer measurement of left ventricle and assessment of LVEF
Time frame: 10 Minutes
Proportion of studies the LVEF is changed more than 5% in final report
Time frame: 10 Minutes
Mean change in LVEF between preliminary and final report
Time frame: 10 Minutes
Proportion of studies the annotation is changed
Time frame: 10 Minutes
Mean change in LVEF between prior clinical report and final report
Cedars-Sinai Medical Center
Other
Blinded Randomized Controlled Trial of Artificial Intelligence Guided Assessment of Cardiac Function
Acronym: EchoNet-RCT
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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