Clinical trials: Electrocardiogram, Valvular Heart Disease
Hypertrophic Cardiomyopathy
Diagnosis of HCM With AI-ECG
The study aims to establish a diagnostic model of hypertrophic cardiomyopathy with artificial intelligence-enhanced electrocardiogram.
- Trial name
- NCT06287892
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Electrocardiogram, Valvular Heart Disease
Artificial Intelligence-enhanced Electrocardiogram Diagnoses and Predicts Future Regurgitant Valvular Heart Diseases
This is a retrospective study to establish models for the prediction of future valvular heart diseases with artificial intelligence-enhanced electrocardiogram (ECG).
- Trial name
- NCT06475157
- Testing
- No intervention
- Where
- 2 sites in China, United Kingdom
- Volunteers
- 500,000 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Arterial Hypertension, Heart Rhythm Disorders
Screening for Cardiac and Cardiac-associated Pathology Using Single-channel Electrocardiogram
It is a prospective, controlled, single-center, observational, non-randomized study. The study is planned to include at least 4000 patients 18 years old and older in the training sample and 1000 patients over 18 years old in the…
- Conditions
- Arterial Hypertension, Heart Rhythm Disorders, Valvular Heart Diseases, Heart Failure
- Trial name
- NCT07396792
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Atrial Fibrillation, Cardiovascular Diseases
NOrthwestern Tempus AI-enaBLed Electrocardiography (NOTABLE) Trial
The goal of this clinical trial is to determine if a machine learning/artificial intelligence (AI)-based electrocardiogram (ECG) algorithm (rECHOmmend and ECG-AF) can identify undiagnosed cardiovascular disease in patients.
- Conditions
- Atrial Fibrillation, Cardiovascular Diseases, Arrhythmia, Valvular Disease
- Trial name
- NOTABLE (NCT06511505)
- Testing
- Risk-Based Assessment for Cardiac Dysfunction
- Where
- United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Northwestern University
Aortic Stenosis
Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram Study
AoS-SEDAI study is an observational, multicenter, retrospective and prospective clinical study. This study aims to assess Willem Artificial Intelligence (AI) ability to distinguish between aortic stenosis (AS) and non-AS patients…
- Trial name
- AoS-SEDAI (NCT07479992)
- Testing
- Willem AI ECG assessment
- Where
- 2 sites in Germany
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Aortic Stenosis
ECG-based AI Screening for Cases of Undiagnosed Moderate-to-Severe Aortic Stenosis in the Primary Care Setting
The goal of this observational study is to learn whether AccurKardia's AK-AVS algorithm can help identify moderate-to-severe aortic stenosis (AS), a narrowing of the heart's aortic valve, in older adults who have not yet been…
- Trial name
- NCT07827105
- Testing
- AK-AVS
- Where
- United States
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- AccurKardia, Inc.
Valvular Heart Disease Stenosis and Regurgitation, Valvular Heart Disease
Screening of Valvular Heart Disease Using Single-channel Electrocardiogram
It is a prospective, controlled, single-center, observational, non-randomized study. The study is planned to include at least 1000 patients over 18 years old in the training sample and 200 patients over 18 years old in the test…
- Trial name
- NCT07099417
- Testing
- No intervention (observational study)
- Where
- Russia
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Aortic Valve Stenosis, Mitral Regurgitation
Phono- and Electrocardiogram Assisted Detection of Valvular Disease
The diagnosis of valvular heart disease (VHD), or its absence, invariably requires cardiac imaging. A familiar and inexpensive tool to assist in the diagnosis or exclusion of significant VHD could both expedite access to…
- Conditions
- Aortic Valve Stenosis, Mitral Regurgitation, Heart Murmurs, Valvular Heart Disease
- Trial name
- PEA-Valve (NCT03458806)
- Testing
- AS Algorithm 1, AS Algorithm 2, MR Algorithm 1
- Where
- United States
- Volunteers
- 156 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Valvular Heart Disease
Age and Sex-Specific PREValence of AcqUirEd VALVular Heart DiseasE
The PREVUE-VALVE study will establish reliable, population-based estimates of Valvular Heart Disease (VHD) prevalence among older Americans and allow for the development and validation of several innovative tools to aid in the…
- Trial name
- PREVUE-VALVE (NCT05357404)
- Where
- United States
- Volunteers
- 2,870 people, healthy volunteers welcome
- Sponsor
- Cardiovascular Research Foundation, New York
Valvular Heart Diseases, Valvular Heart Disease Stenosis and Regurgitation
ECG and CXR for Predicting Cardiovascular Diseases
This retrospective multicenter cohort study aims to develop and validate an artificial intelligence model integrating electrocardiography (ECG) and chest radiography (CXR) to predict future progression of regurgitant valvular…
- Conditions
- Valvular Heart Diseases, Valvular Heart Disease Stenosis and Regurgitation, Regurgitation, Aortic Valve, Regurgitation, Mitral
- Trial name
- NCT07573852
- Where
- China
- Volunteers
- 116,380 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital