Clinical trials: Artificial Heart Valve
Aortic Stenosis
Deep Learning Enhanced Detection of Aortic Stenosis - The DETECT-AS-Diagnostic Study
The DETECT-AS Diagnostic Study will assess the performance of artificial intelligence (AI) risk predictions to detect aortic stenosis using results from portable electrocardiogram (ECG) and cardiac ultrasound devices.
- Trial name
- NCT06749145
- Testing
- Portable 1-lead electrocardiogram, Point-of-care ultrasound, AI-ECG risk algorithm
- Where
- 3 sites in United States
- Volunteers
- 410 people, healthy volunteers welcome
- Sponsor
- Yale University
Coronary Heart Disease (CHD), Heart Failure
a Foundational Model for Cardiovascular Disease Diagnosis and Prediction
The goal of this observational study is to develop and evaluate the efficacy of a foundational model that integrates multimodal medical data to improve the diagnosis and prediction of cardiovascular diseases in patients aged 18…
- Conditions
- Coronary Heart Disease (CHD), Heart Failure, Arrhythmias, Valvular Heart Disease
- Trial name
- NCT06591923
- Testing
- No Interventions
- Where
- China
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Cardiovascular Diseases, Hypertrophic Cardiomyopathy (HCM)
AI-enabled Screening and Diagnosis of Cardiomyopathies Using Coronary CTA
The goal of this observational and diagnostic study is to develop and validate an artificial intelligence assisted approach for coronary computer tomography angiography-(CCTA)-based screening and diagnosis of cardiomyopathies in…
- Conditions
- Cardiovascular Diseases, Hypertrophic Cardiomyopathy (HCM), Dilated Cardiomyopathy (DCM), Restrictive Cardiomyopathy
- Trial name
- Atlantis (NCT06748261)
- Testing
- CCTAI model
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Healthy Adults, Pulmonary Hypertension
A Multicenter Study on the Normal Reference Range and Clinical Significance of the Right Atrioventricular Coupling Index Assessed by Artificial Intelligence-Based Three-Dimensional Echocardiography
This multicenter study aims to establish the normal reference range of the Right Atrioventricular Coupling Index (RACI) in healthy Chinese adults using AI-based 3DE technology.
- Conditions
- Healthy Adults, Pulmonary Hypertension, Tricuspid Regurgitation, Heart Failure
- Trial name
- NCT07292896
- Where
- 25 sites in China
- Volunteers
- 2,640 people, healthy volunteers welcome
- Sponsor
- First Hospital of China Medical University
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
CVD
EEG/MECG/EMG Evaluating the Severity of Aortic Stenosis, Heart Failure and Ischemic Stroke Through an Artificial Intelligenceassisted System.
The specific objectives and methods of this project are: (1) To test the feasibility and accuracy of integrating EEG, MECG and EMG for detecting the severity of diseases such as aortic stenosis, heart failure and ischemic stroke.
- Trial name
- NCT05716659
- Where
- Taiwan
- Volunteers
- 750 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Hypertrophic Cardiomyopathy (HCM), Left Ventricular Hypertrophy
AI-Enabled Diagnosis and Prognosis of Hypertrophic Cardiomyopathy
By harnessing artificial intelligence to decode the 12-lead electrocardiogram, the project will enable precise ECG-based phenotyping of hypertrophic cardiomyopathy-accurately classifying septal, apical, and other morphologic…
- Trial name
- NCT07263204
- Where
- China
- Volunteers
- 15,000 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
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
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.
Heart Valve Diseases
AI Assisted Screening for VHD Using Routine Chest CT Scans
This is a prospective, multicenter study designed to validate a deep learning model for screening valvular heart diseases using routine, non-contrast chest computed tomography (CT) scans.
- Trial name
- ARTEMIS (NCT07449130)
- Where
- 3 sites in China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Valvular Heart Disease
Evaluation of an Automated Smartphone-based Digital Auscultation Application for Detecting Abnormal Heart Sounds Using Deep Learning Techniques
This pilot study is to investigate the feasibility of obtaining medical grade audio phonocardiogram (PCG) recordings using a smartphone-based auscultation device in the first step.
- Trial name
- AVDA (NCT05325723)
- Where
- Switzerland
- Volunteers
- 102 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Aortic Stenosis, Disorder of Prosthetic Cardiac Valve
Biomarkers in Aortic Stenosis - B.A.S.S.
This study is being done to determine whether or not new blood test(s) can determine the severity of heart conditions. Aortic stenosis, hypertrophic cardiomyopathy, mitral regurgitation, aortic regurgitation, artificial heart…
- Conditions
- Aortic Stenosis, Disorder of Prosthetic Cardiac Valve, Aortic Valve Insufficiency, Mitral Valve Insufficiency
- Trial name
- BASS (NCT01334801)
- Testing
- Blood Draw
- Where
- United States
- Volunteers
- 378 people, healthy volunteers welcome
- Sponsor
- Mayo Clinic
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
Heart Failure, Cardiomyopathies
Multimodal Physiologic State Intelligence Study
The OMNIPHYS study will investigate whether multimodal ultrasound and other routinely collected clinical and physiologic data can be combined with artificial intelligence to characterize changes in a person's physiologic state…
- Conditions
- Heart Failure, Cardiomyopathies, Pulmonary Hypertension, Myocarditis; Acute or Subacute
- Trial name
- OMNIPHYS (NCT07814118)
- Testing
- OMNIPHYS Multimodal Ultrasound Imaging System
- Where
- United States
- Volunteers
- 25,000 people, healthy volunteers welcome
- Sponsor
- Truway Health, Inc.