Feasibility of AI-based Heart Function Prediction Model Using CXR (AI-CXR)
Feasibility of Artificial Intelligence-based Heart Function Prediction Model Using Chest Radiography
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
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
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Giheung-gu
-
Yongin, Giheung-gu, Korea, Republic of, 16995
- Yongin Severance Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adults who are 20 years and older
- Patient who visited the emergency room or outpatient clinic due to dyspnea and chest pain
Exclusion Criteria:
- Patient refusal
- Uncertain radiographs or transthoracic echocardiography
- Uncertain tests results
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Left Ventricular Ejection Fraction < 40%
Time Frame: Within two weeks of chest X-ray
|
Evaluate the performance of chest X-ray based artificial intelligence algorithms to identify individuals with reduced ejection fraction (<40%)
|
Within two weeks of chest X-ray
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: In Hyun Jung, MD, PhD, Yongin Severance Hospital, Yonsei University College of Medicine
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- YonseiU
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.