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Study on AI Recognition System Of Heart Sound In Congenital Heart Disease Screening

NCT04307030 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2023-04-21

No results posted yet for this study

Summary

The objective of this study is to establish AI algorithm based on the deep learning to strengthen the ability to classify the heart murmurs of healthy people and different major or other subdivided congenital heart diseases(CHDs) and to evaluate the effectiveness of artificial intelligence technology-assisted heart sound recognition system (referred to as: Heart sound AI recognition system) for multi-center CHD screening.

Conditions

  • Congenital Heart Disease in Children

Interventions

DIAGNOSTIC_TEST

Heart Auscultation and Echocardiography

Heart auscultation will be done by cardiovascular pediatrician and echocardiography by echocardiologist

Sponsors & Collaborators

  • Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

    lead OTHER

Principal Investigators

  • KUN SUN, MD · Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Eligibility

Max Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-07-01
Primary Completion
2021-12-31
Completion
2023-06-30

Countries

  • China

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 NCT04307030 on ClinicalTrials.gov