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Feasibility of AI-based Heart Function Prediction Model Using CXR

NCT04996381 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 505

Last updated 2022-09-14

No results posted yet for this study

Summary

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

Conditions

  • Chest X-ray for Clinical Evaluation

Interventions

DIAGNOSTIC_TEST

Scanning Chest X-rays and performing AI algorithms on images

Chest X-Rays; AI CNNs; Results

Sponsors & Collaborators

  • Yonsei University

    lead OTHER

Principal Investigators

  • In Hyun Jung, MD, PhD · Yongin Severance Hospital, Yonsei University College of Medicine

Eligibility

Min Age
20 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-01
Primary Completion
2022-06-30
Completion
2022-09-01

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04996381 on ClinicalTrials.gov