Feasibility of AI-based Heart Function Prediction Model Using CXR

The investigators will develop an artificial intelligence model to predict left ventricular ejection fraction using chest radiographic images and transthoracic echocardiography data.

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Key information

Conditions

Chest X-ray for Clinical Evaluation

Age range

20 year–90 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Yongin Severance Hospital

Yongin, Giheung-gu, 16995, South Korea

About this study

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

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Scanning Chest X-rays and performing AI algorithms on images

Diagnostic Test

Chest X-Rays; AI CNNs; Results

Primary outcomes

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%)

Sponsors and collaborators

Lead sponsor

Yonsei University

Other

Registry information

Official study title

Feasibility of Artificial Intelligence-based Heart Function Prediction Model Using Chest Radiography

Acronym: AI-CXR

Important dates

Study start: 2022
Primary completion: 2022
Study completion: 2022
First posted: Aug 9, 2021
Registry last updated: Sep 14, 2022

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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Completed