Feasibility of AI-based Heart Function Prediction Model Using CXR
AI-CXR
Feasibility of Artificial Intelligence-based Heart Function Prediction Model Using Chest Radiography
1 other identifier
observational
505
1 country
1
Brief Summary
The investigators will develop an artificial intelligence model to predict left ventricular ejection fraction using chest radiographic images and transthoracic echocardiography data.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2022
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 4, 2021
CompletedFirst Posted
Study publicly available on registry
August 9, 2021
CompletedStudy Start
First participant enrolled
March 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2022
CompletedSeptember 14, 2022
September 1, 2022
4 months
August 4, 2021
September 12, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Left Ventricular Ejection Fraction < 40%
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
Interventions
Chest X-Rays; AI CNNs; Results
Eligibility Criteria
Patients undergoing a transthoracic echocardiogram will be enrolled.
You may qualify if:
- Adults who are 20 years and older
- Patient who visited the emergency room or outpatient clinic due to dyspnea and chest pain
You may not qualify if:
- Patient refusal
- Uncertain radiographs or transthoracic echocardiography
- Uncertain tests results
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Yongin Severance Hospital
Yŏngin, Giheung-gu, 16995, South Korea
Study Officials
- STUDY CHAIR
In Hyun Jung, MD, PhD
Yongin Severance Hospital, Yonsei University College of Medicine
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD. PhD.
Study Record Dates
First Submitted
August 4, 2021
First Posted
August 9, 2021
Study Start
March 1, 2022
Primary Completion
June 30, 2022
Study Completion
September 1, 2022
Last Updated
September 14, 2022
Record last verified: 2022-09