Detection of Valvular Heart Disease Using Artificial Intelligence-based Stethoscope
Launched by XIAO-DONG ZHUANG · Apr 24, 2024
Trial Information
Current as of June 26, 2025
Recruiting
Keywords
ClinConnect Summary
This clinical trial is looking at how an advanced stethoscope, powered by artificial intelligence, can help detect valvular heart disease. Valvular heart disease is a condition where the heart's valves don't work properly, which can lead to serious health issues if not diagnosed and treated early. The goal of this study is to create a tool that can listen to heart sounds and help identify this condition sooner, allowing for better monitoring and treatment.
To participate in this trial, individuals must be over 18 years old and have had an echocardiogram (a heart ultrasound) in the past month that either confirmed or ruled out valvular heart disease. However, people who have had heart valve surgery, have certain types of heart disease from birth, or are pregnant or breastfeeding cannot participate. If you join the study, you can expect to help researchers learn more about how technology can improve heart disease diagnosis, which may ultimately benefit many patients in the future.
Gender
ALL
Eligibility criteria
- Inclusion Criteria:
- • 1. age\>18 years
- • 2. In the past 1 month, echocardiography was performed to diagnose valvular heart disease (positive group) and echocardiography to exclude valvular heart disease (negative group).
- • 3. Consent to study and be able to sign informed consent
- Exclusion Criteria:
- • 1. After prosthetic valve replacement
- • 2. Congenital heart disease (except bilobal aortic valve)
- • 3. Hypertrophic Cardiomyopathy(HCM)
- • 4. Pregnant, lactating women
About Xiao Dong Zhuang
Xiao-Dong Zhuang is a distinguished clinical trial sponsor dedicated to advancing medical research and innovation. With a strong focus on developing novel therapies, the organization collaborates with leading researchers and institutions to conduct rigorous clinical trials that adhere to the highest ethical and scientific standards. Committed to improving patient outcomes, Xiao-Dong Zhuang emphasizes transparency, integrity, and patient safety throughout the research process, ensuring that their studies contribute valuable insights to the medical community and ultimately enhance healthcare practices.
Contacts
Jennifer Cobb
Immunology at National Institute of Allergy and Infectious Diseases (NIAID)
Locations
Guangzhou, Guangdong, China
Patients applied
Timeline
First submit
Trial launched
Trial updated
Estimated completion
Not reported