Clinical trials: Electrocardiogram, open to volunteers
Prior Myocardial Infarction
PRIor Myocardial Infarction Identification on Electrocardiogram
Abstract Background: Chronic myocardial infarction (MI) is a serious cardiovascular disease associated with high mortality rates, making early diagnosis and timely intervention essential for improving patient outcomes.
- Trial name
- PRIME (NCT06811194)
- Where
- China
- Volunteers
- 12,000 people, healthy volunteers welcome
- Sponsor
- The Third People's Hospital of Chengdu
Hyperkalaemia
AI-Enabled ECG Stratification and Timing of Potassium-Lowering Therapy in Patients With Hyperkalemia: A Target Trial Emulation Study
Hyperkalemia is a common and potentially life-threatening electrolyte disorder, yet there is limited evidence guiding the optimal timing of potassium-lowering therapy in routine clinical practice.
- Trial name
- AIDE-K (NCT07307729)
- Testing
- Timely treatment, Delayed treatment
- Volunteers
- 5,000 people
- Sponsor
- National Defense Medical Center, Taiwan
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
Atrial Fibrillation (AF)
Functional And STructural Assesment of the Heart by Artificial Intelligence-enabled Electrocardiogram for the Management of Atrial Fibrillation
The objective of this study is to evaluate whether an AI-ECG based screening strategy for detecting cardiac functional and structural abnormalities preserves clinical effectiveness and safety, compared with a conventional…
- Trial name
- FAST-AF (NCT07486739)
- Testing
- Artificial intelligence-enabled electrocardiography, Transthoracic Echocardiography-Guided Assessment
- Where
- 28 sites in South Korea
- Volunteers
- 1,724 people
- Sponsor
- Seoul National University Hospital
Acute Coronary Syndromes
Impact of Non-medicalized ECG Practices Initiated by SAMU in Dispatch Strategies
The performance of an ECG by non-medicalized prehospital teams (firefighters, first responders, paramedic ambulances) is developing across the territory to cope with the increasing demand (SAMU calls) for a service that cannot…
- Trial name
- ECG-PHNM (NCT07144059)
- Testing
- ECG by the SMUR after medical interrogation by the SAMU, ECG performed by a non-medical vector
- Volunteers
- 350 people
- Sponsor
- Centre Hospitalier Sud Francilien
Intracranial Pressure Increase
Non-Invasive and Non-Contact Intracranial Pressure Waveform Recording Using Dynamic Video Ophthalmoscopy
This study will test the use of video ophthalmoscope to provide information about intracranial pressure without the use of invasive methods, anesthesia or contact with the eye.
- Trial name
- ICP Waveform (NCT04046523)
- Testing
- Video ophthalmoscope
- Where
- United States
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- University of Minnesota
Epilepsy, Pediatric Epilepsy
Time-Domain Heart Rate Variability and QT Interval in Children With Epilepsy
Epilepsy is a chronic neurological disorder characterized by recurrent unprovoked seizures, but it can also affect the autonomic nervous system and cardiovascular function.
- Conditions
- Epilepsy, Pediatric Epilepsy, Autonomic Dysfunction, Cardiac Arrhythmias
- Trial name
- NCT07834983
- Volunteers
- 60 people
- Sponsor
- Assiut University
PICC Line Placement, Vessels; Anomaly
Image-Guided Central Catheter Insertion With Concurrent Assessment of Vascular Wall Integrity
The insertion of peripherally inserted central catheters (PICCs) represents a minimally invasive and safe method for establishing long-term central venous access in patients requiring prolonged intravenous therapy, including…
- Trial name
- NCT07466472
- Volunteers
- 80 people
- Sponsor
- University Medical Centre Ljubljana
Cardiac Arrhythmias, Acute Myocardial Infarction (AMI)
Predict Arrhythmia Risk Using Intelligent Software
Cardiac arrhythmias frequently occur in patients admitted to the Coronary Care Unit (CCU). The majority of these patients are treated for an acute myocardial infarction, which carries an increased risk of life-threatening…
- Conditions
- Cardiac Arrhythmias, Acute Myocardial Infarction (AMI), Ventricular Tachycardia (VT), Ventricular Fibrillation
- Trial name
- PARIS (NCT07792694)
- Where
- Netherlands
- Volunteers
- 3,000 people
- Sponsor
- Catharina Ziekenhuis Eindhoven
Angina (Stable), Chest Pain Atypical Syndrome
The Use of Artificial Intelligence-Enhanced Electrocardiograms in the Chest Pain Clinic to Risk Stratify Patients, Provide Rapid Reassurance and Enable a Low-Cost Clinical Pathway
Our current pathway for investigating patients with chest pain differs depending on if the pain is cardiac sounding or not. National guidelines advise us that patients with non-cardiac chest pain do not need further tests beyond…
- Trial name
- NCT07757425
- Testing
- AI-ECG
- Where
- 2 sites in United Kingdom
- Volunteers
- 4,000 people
- Sponsor
- Jamil Mayet
Chest Pain, Dyspnea
ER-VISION-AI Study
Prospective, multicenter, randomized, open-label, blinded-endpoint (PROBE-like) clinical trial evaluating whether physician-supervised Generative Pre-trained Transformer (GPT)-assisted multimodal diagnostic support improves…
- Conditions
- Chest Pain, Dyspnea, Acute Cardiopulmonary Disease, Emergency Department Patients
- Trial name
- ER-VISION-AI (NCT07727590)
- Testing
- Generative Pre-trained Transformer (GPT)-assisted multimodal visual language model (VLM) diagnostic support, Conventional emergency department diagnostic evaluation
- Where
- South Korea
- Volunteers
- 1,000 people
- Sponsor
- Ewha Womans University Mokdong Hospital
Bradycardia, Heart Failure
Ultra-High Frequency - Electrocardiogram (UHF-ECG) for the Diagnosis of Ventricular Electrical Dyssynchrony (VED)
The purpose of this study is to demonstrate the safety and effectiveness of the VDI UHF-ECG System in the diagnosis of ventricular dyssynchrony when compared to the 12-lead ECG in patients with bradycardia and heart failure…
- Conditions
- Bradycardia, Heart Failure, Ventricular Dysfunction
- Trial name
- SYNC (NCT06641362)
- Testing
- Ultra High Frequency Electrocardiogram (UHF-ECG)
- Where
- 12 sites in United States, Czechia and 1 more
- Volunteers
- 360 people
- Sponsor
- VDI Technologies
Heart Disease
A Study Of Heart Disease Using AI-Enabled Electrocardiography And Focused Cardiac Ultrasound
A study to evaluate feasibility, diagnostic yield, accuracy, and actionable thresholds of POC, immediate-feedback AI-ECG + AI FoCUS screening for cardiac disease in well described community populations.
- Trial name
- NCT07351656
- Testing
- Focused Cardiac Ultrasound, 6-Lead AI-ECG, 12-Lead AI-ECG
- Where
- United States
- Volunteers
- 19,300 people
- Sponsor
- Mayo Clinic
Respiratory Failure, Heart Rate Variability (HRV)
Heart Rate VAriability as a MaRker for tItrATing hIgh flOw Nasal Cannula Therapy
High-flow nasal cannula is a type of non-invasive respiratory support that helps patients breathe more comfortably. Because the flow is high, it can deliver more oxygen to the lungs and make breathing easier by reducing the…
- Conditions
- Respiratory Failure, Heart Rate Variability (HRV), High Flow Nasal Cannula
- Trial name
- VARIATION (NCT07518862)
- Where
- Canada
- Volunteers
- 20 people
- Sponsor
- University Health Network, Toronto
Ischemic Heart Disease, Coronary Artery Stenosis
AI-Enhanced Single-Lead ECG Screening for Coronary Stenosis
It is a prospective, controlled, single-center, non-randomized, observational study. Two patient groups are planned for inclusion: the first - 200 patients with significant coronary artery stenosis confirmed by coronary…
- Conditions
- Ischemic Heart Disease, Coronary Artery Stenosis, Stable Angina Pectoris, Acute Coronary Syndromes
- Trial name
- NCT07579624
- Testing
- single-channel electrocardiogram
- Where
- Russia
- Volunteers
- 400 people
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Perioperative Cardiovascular Risk, Postoperative Complications (Cardiopulmonary)
AI-ECG for Preoperative Cardiovascular Risk Stratification Before General Surgery
This randomized controlled trial evaluates whether an artificial intelligence-enhanced electrocardiography (AI-ECG)-based strategy for preoperative cardiovascular risk stratification is noninferior to usual care in patients…
- Conditions
- Perioperative Cardiovascular Risk, Postoperative Complications (Cardiopulmonary), Preoperative Care
- Trial name
- NCT07774689
- Testing
- AI-ECG-based preoperative risk stratification (ECG Buddy)
- Where
- South Korea
- Volunteers
- 3,200 people
- Sponsor
- Seoul National University Bundang Hospital
Atrial Fibrillation (AF), Heart Failure With Mildly Reduced Ejection Fraction (HFmrEF)
An AI-ECG-Based Approach for Dynamic Assessment of Heart Failure Risk and Myocardial Recovery Following Atrial Fibrillation Ablation
Background Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a promising digital biomarker for detecting latent myocardial dysfunction and predicting cardiovascular risk.
- Trial name
- NCT07708818
- Where
- South Korea
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Ewha Womans University Mokdong Hospital
Monitoring, ECG
Clinical Performance and Usability of the Heart Rate and Impedance Respiration Monitor Cable
This study aims to evaluate the performance and usability of a new physiological monitoring technology by collecting data from subjects across different age groups to support device development and clinical evaluation.
- Conditions
- Monitoring, ECG, Electrocardiogram
- Trial name
- NCT07893405
- Where
- Finland
- Volunteers
- 50 people
- Sponsor
- GE Healthcare
Cardiomyopathies, Cardiac Arrest
AI-powered ECG Analysis Using Willem™ Software in High-risk Cardiac Patients (WILLEM)
WILLEM is a multi-center, prospective and retrospective cohort study. The study will assess the performance of a cloud-based and AI-powered ECG analysis platform, named Willem™, developed to detect arrhythmias and other abnormal…
- Conditions
- Cardiomyopathies, Cardiac Arrest, Cardiac Arrhythmias, Sudden Cardiac Death
- Trial name
- WILLEM (NCT05890716)
- Testing
- AI-powered ECG analysis to detect cardiac arrhythmic episodes
- Where
- 13 sites in Netherlands, Spain
- Volunteers
- 5,342 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Pulmonary Hypertension, Pulmonary Arterial Hypertension
Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension
Pulmonary hypertension represents a challenging and heterogeneous condition that is associated with high mortality and morbidity if left untreated.
- Trial name
- AIPHY (NCT05566002)
- Testing
- Right heart catheterization
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Chinese Pulmonary Vascular Disease Research Group