An observational study in Chest X-ray for Clinical Evaluation, sponsored by Yonsei University. Completed at 1 site in Korea, Republic of. Open to participants aged 20 Years to 90 Years. Per ClinicalTrials.gov, last updated 2022-09-14.
Sponsored by Yonsei University · Observational
The investigators will develop an artificial intelligence model to predict left ventricular ejection fraction using chest radiographic images and transthoracic echocardiography data.
Echocardiography should be considered at an early stage in patients who have first developed heart failure or who do not have information about heart function, but the examination may be delayed due to lack of time and manpower in the actual medical field.
Primary Objective: Use chest radiographs to predict the left ventricular ejection fraction
Yonsei University is the lead sponsor of 1,387 studies on the registry; 232 are open to participants now.
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Patients undergoing a transthoracic echocardiogram will be enrolled.
Exclusion Criteria:
Chest X-Rays; AI CNNs; Results
Left Ventricular Ejection Fraction < 40%
Evaluate the performance of chest X-ray based artificial intelligence algorithms to identify individuals with reduced ejection fraction (\<40%)
Time frame: Within two weeks of chest X-ray
This study is completed, as verified in Sep 2022. You cannot join it, but the record below documents what was studied.
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Yonsei University