Clinical trials: Electrocardiography Education
Heart Failure, Pulmonary Arterial Hypertension
Non-invasive Pulmonary Artery Prediction (ADOPTS)
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function.
- Trial name
- ADOPTS (NCT05641675)
- Testing
- right heart catheterization
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Silverleaf Medical Sciences INC
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.
Atrial Fibrillation, Structural Heart Disease
Electrocardiogram-based Artificial Intelligence-assisted Detection of Heart Disease
Atrial fibrillation is an abnormal beating of the heart that can lead to stroke or heart failure. Structural heart diseases are conditions that affect the heart valves or heart muscle and can cause permanent heart damage if left…
- Trial name
- ECG-AID (NCT05442203)
- Testing
- Zio Patch Monitor, Echocardiogram
- Where
- 3 sites in United States
- Volunteers
- 1,000 people
- Sponsor
- Tempus AI
Pulmonary Hypertension
Development of an Algorithm to Detect Pulmonary Hypertension Using an Electronic Stethoscope
The major goal of the study is to determine whether phonocardiography (using the Eko DUO stethoscope which can capture a three lead ECG reading) can present features that relate to the presence of PH diagnosed by echocardiography…
- Trial name
- NCT05873387
- Testing
- Use of Eko DUO stethoscope (paired ECG/PCG)
- Where
- 3 sites in United States
- Volunteers
- 2,420 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Hypertension, Pulmonary, Heart Failure With Reduced Ejection Fraction
Deep Learning Detection of Pulmonary Hypertension and Low Ejection Fraction Via Digital Stethoscope and 3-Lead ECG
This is a prospective, observational study evaluating whether heart sounds (phonocardiograms) and three-lead electrocardiograms (ECGs) recorded using the Eko CORE 500 digital stethoscope can help detect pulmonary hypertension…
- Trial name
- PH ELEFT 2-0 (NCT07087613)
- Testing
- Eko CORE 500 Digital Stethoscope
- Where
- 4 sites in United States
- Volunteers
- 3,850 people
- Sponsor
- Eko Devices, Inc.
Pulmnary Hypertension
Detecting Pulmonary Hypertension With the Eko CORE 500 Digital Stethoscope
This prospective, observational study will evaluate whether synchronized heart sound (phonocardiogram, PCG) and three-lead electrocardiogram (ECG) recordings (entered as separate interventions in PRS, though collected together in…
- Trial name
- EKO-PH (NCT07136623)
- Testing
- Eko CORE 500 phonocardiogram (PCG) recording, Eko CORE 500 three-lead electrocardiogram (ECG) recording
- Where
- 2 sites in United States
- Volunteers
- 1,513 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
High-risk Cardiac Patients
Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform
The WILLEM Registry is a large-scale, single-group, observational, registry study to collect continuous clinical evidence of Willem in real-world settings.
- Trial name
- WILLEMRegistry (NCT07333547)
- Testing
- Willem AI ECG assessment
- Where
- 5 sites in United States, Ecuador and 1 more
- Volunteers
- 200,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.