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NCT04307030

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

Status unknown Last updated 21 April 2023
What this trial tests

trial testing Heart Auscultation and Echocardiography in Congenital Heart Disease in Children in 5,000 participants. Status unknown.

Timeline
1 July 2020
Primary endpoint
31 December 2021
30 June 2023

Quick facts

Lead sponsorXinhua Hospital, Shanghai Jiao Tong University School of Medicine
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment5,000
Start date1 July 2020
Primary completion31 December 2021
Estimated completion30 June 2023
Sites16 locations across China

Drugs / interventions tested

Conditions studied

Sponsor

Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Who can join

Under 18, any sex, with Congenital Heart Disease in Children. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other trials of Heart Auscultation and Echocardiography

Trials testing the same drug.

Other recruiting trials for Congenital Heart Disease in Children

Currently open trials in the same condition.

Other Xinhua Hospital, Shanghai Jiao Tong University School of Medicine trials

Trials by the same sponsor.

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Data sources for this page

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