Artificial Intelligence-based automated ECHOcardiographic measurements and the workflow of sonographers: Randomized Control Trial (AI-ECHO RCT)
Not Applicable
- Conditions
- ot applicable
- Registration Number
- JPRN-UMIN000053259
- Lead Sponsor
- Juntendo University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 8
Inclusion Criteria
Not provided
Exclusion Criteria
(1) Sonographers who are deemed by the physician in charge to have difficulty participating in the study due to reasons such as impaired comprehension or mental instability (2)Sonographers who are deemed inappropriate for the study by the attending physician.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The number of echocardiographic tests performed one day and efficiency of tests.
- Secondary Outcome Measures
Name Time Method Testing time per case; reporting time; changes in survey results; rate of change in measurements in final check by physician; and time required for final check by physician.
Related Research Topics
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What molecular mechanisms underlie AI-driven echocardiographic parameter quantification in JPRN-UMIN000053259?
How does AI-ECHO RCT compare to traditional sonographer workflows in terms of diagnostic accuracy and efficiency?
What biomarkers are being evaluated for predicting response to AI-automated cardiac imaging in clinical trials?
What adverse events have been reported in AI-assisted echocardiography trials and how are they managed?
How does JPRN-UMIN000053259's AI platform compare to other cardiac imaging technologies like ECG or MRI in diagnostic workflows?