EICHOR
● Completed
Study on AI Recognition System Of Heart Sound In Congenital Heart Disease Screening
Condition: Congenital Heart Disease in Children · Sponsor: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
About this study
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.
This description comes directly from the study's public registry record.
Talk to the study team
No contact information is available for this study as per the public registry record.
Always discuss trial participation with your own doctor first.
Locations (16)
| Beijing Anzhen Hospital | Beijing, China | — |
| Children's Hospital Affiliated to Chongqing Medical University | Chongqing, China | — |
| The First Affiliated Hospital of Guangxi Medical University | Guangxi, China | — |
| Guangzhou Women and Children's Medical Center | Guangzhou, China | — |
| Children's Hospital Affiliated to Zhejiang Medical University | Hangzhou, China | — |
| Hunan Children's Hospital | Hunan, China | — |
| Shandong Provincial Hospital | Jinan, China | — |
| Kunming Children's Hospital | Kunming, China | — |
| Lanzhou University Second Hospital | Lanzhou, China | — |
| Linyi Hospital for Women and Children | Linyi, China | — |
| Children's Hospital of Shanghai | Shanghai, China | — |
| Shanghai Children's Medical Center | Shanghai, China | — |
+ 4 more locations — full list on the registry record.
Follow this study
Save your interest here for when the public record changes — results posted, or the study's status changes. Email alerts for this study aren't switched on yet.
We keep this only about this public record, and never email you without alerts being switched on. Want it removed at any time? Email hello@eichor.com. Never medical advice. By subscribing you agree to our Terms of Use and Privacy Policy.
This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.
Source record: clinicaltrials.gov/study/NCT04307030