Valvular Heart Disease Stenosis and Regurgitation (Diagnosis)AI-ECG-SHDNCT07057466
Prospective Evaluation of AI-ECG for SHD Detection
An observational study of Valvular Heart Disease Stenosis and Regurgitation (Diagnosis) and Pulmonary Hypertension (Diagnosis), run by Imperial College London at 6 sites in United Kingdom.
Trial summary
AI-ECG-SHD is a multicentre prospective observational diagnostic accuracy study evaluating artificial intelligence-enhanced electrocardiography (AI-ECG) for the detection of structural heart disease in adults undergoing clinically indicated transthoracic echocardiography (TTE). Read more about this study
- Who is it for?
- Ages 18 to 90 years
- Conditions the study is for
- Valvular Heart Disease Stenosis and Regurgitation (Diagnosis), Pulmonary Hypertension (Diagnosis), Heart Failure With Reduced Ejection Fraction (HFrEF; Diagnosis)
- What is being tested?
- Traditional 12-lead Electrocardiogram, Apple Watch Series 4 Single-lead Electrocardiogram and Eko Core 500 Digital Stethoscope 3-lead Electrocardiogram
- How many people
- 590 participants
- Where
- 6 sitesUnited Kingdom
- Study dates
- 4 Nov 2025to 2 Aug 2027
- Phase
- Observational
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 90 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: This multicentre prospective observational diagnostic accuracy study will recruit 590 adult inpatients and outpatients aged 18-90 years undergoing transthoracic echocardiography (TTE) as part of routine clinical care. Participants will be recruited from Chelsea and Westminster Hospital, West Middlesex University Hospital, Hammersmith Hospital, St Mary's Hospital, Bristol Royal Infirmary, and Southmead Hospital. Patients with known severe structural heart disease are excluded. Patients with previously diagnosed structural abnormalities that do not meet the prespecified severe structural heart disease exclusion criteria may remain eligible for recruitment.
Who may be able to join
- Patients awaiting a transthoracic echocardiogram (TTE) based on clinical grounds as part of their standard care
- Age 18-90 years
- Able to provide informed consent
Who cannot join
- Severe arrhythmia or unstable cardiovascular disease
- Known severe structural heart disease, defined as any of the following: severe left ventricular systolic dysfunction (LVEF ≤35%); severe valvular heart disease according to current British Society of Echocardiography criteria; high echocardiographic probability of pulmonary hypertension according to current British Society of Echocardiography criteria; or previous structural cardiac intervention, including valve repair, valve replacement/implantation, or surgical repair of a cardiac chamber or congenital structural abnormality
- Cardiac implantable electronic device in situ, including a permanent pacemaker or implantable cardioverter defibrillator
- Current or recent involvement in another research study
Trial locations and contacts
6 sites in 1 country. Contact the study team or a site near you to ask about taking part.
6 sites in 1 country
United Kingdom6 sites, 6 recruiting
- Recruiting
Bristol Royal Infirmary
Bristol
Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA, +44 02075943614, a.el-medany24@imperial.ac.uk
- Recruiting
Southmead Hospital
Bristol
Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA, +44 02075943614, a.el-medany24@imperial.ac.uk
- Recruiting
Chelsea and Westminster Hospital
London
Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA, +44 02075943614, a.el-medany24@imperial.ac.uk
- Recruiting
Hammersmith Hospital
London
Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA, +44 02075943614, a.el-medany24@imperial.ac.uk
- Recruiting
St Mary's Hospital
London
Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA, +44 02075943614, a.el-medany24@imperial.ac.uk
- Recruiting
West Middlesex University Hospital
London
Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA, +44 02075943614, a.el-medany24@imperial.ac.uk
About this study
Official title: Prospective Evaluation of Artificial Intelligence-enhanced Electrocardiography for Detection of Structural Heart Disease
AI-ECG-SHD is a multicentre prospective observational diagnostic accuracy study evaluating artificial intelligence-enhanced electrocardiography (AI-ECG) for the detection of structural heart disease in adults undergoing clinically indicated transthoracic echocardiography (TTE).
Participants undergo standard 12-lead ECG acquisition together with ECG recordings obtained using portable or wearable single-, 3-, and 6-lead devices. Established AI-ECG models will be evaluated for the detection of heart failure, pulmonary hypertension and valvular heart disease using TTE as the clinical reference standard, with performance compared across ECG acquisition modalities within the same prospective cohort.
Read more
AI-ECG predictions are generated offline and are not provided to treating clinicians or used to alter clinical care. The study will also compare AI-ECG performance with N-terminal pro-B-type natriuretic peptide (NT-proBNP) and evaluate the diagnostic performance of a combined AI-ECG and NT-proBNP approach.
The study aims to recruit 590 participants across six NHS hospital sites. A prespecified subgroup of 203 participants will undergo dedicated venous blood sampling for NT-proBNP; eligible same-day NT-proBNP measurements obtained as part of routine clinical care will also be included where available.
- Conditions
- Valvular Heart Disease Stenosis and Regurgitation (Diagnosis), Pulmonary Hypertension (Diagnosis), Heart Failure With Reduced Ejection Fraction (HFrEF; Diagnosis), Heart Failure With Preserved Ejection Fraction (HFpEF; Diagnosis)
- Being tested
- Traditional 12-lead Electrocardiogram, Apple Watch Series 4 Single-lead Electrocardiogram, Eko Core 500 Digital Stethoscope 3-lead Electrocardiogram, AliveCor KardiaMobile Single- and 6-lead Electrocardiogram, Phlebotomy for N-terminal pro-B-type natriuretic peptide
- Keywords
- Artificial Intelligence, Machine Learning, Wearable Devices, Portable Devices, Heart Failure, Pulmonary Hypertension, Valvular Heart Disease, Echocardiography, Electrocardiography
- Medical subject headings
- Gastroesophageal Reflux, Disease, Hypertension, Pulmonary, Heart Failure, Heart Valve Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Traditional 12-lead ElectrocardiogramOther
A study-specific standard 12-lead ECG recording will be obtained with the participant in a semi-reclined position. A 10-second ECG will be acquired and pseudonymised for subsequent offline AI-ECG analysis. AI-ECG outputs will not be used to inform or alter clinical care.
Apple Watch Series 4 Single-lead ElectrocardiogramOther
A 30-second single-lead ECG will be recorded using an Apple Watch Series 4. The watch will be worn on the participant's left wrist and the participant will place their right index finger on the Digital Crown during recording. The ECG will be used for subsequent offline AI-ECG analysis and will not inform clinical care.
Eko Core 500 Digital Stethoscope 3-lead ElectrocardiogramOther
A 30-second 3-lead ECG will be recorded using the Eko CORE 500 digital stethoscope with the participant seated. The device will be positioned over the upper left parasternal region. The ECG will be used for subsequent offline AI-ECG analysis and will not inform clinical care.
AliveCor KardiaMobile Single- and 6-lead ElectrocardiogramOther
Two 30-second ECG recordings will be obtained using the AliveCor KardiaMobile 6L device: a single-lead recording with the participant's thumbs placed on the upper electrodes, followed by a 6-lead recording with the thumbs on the upper electrodes and the lower electrode in contact with the left knee or ankle. Recordings will be used for subsequent offline AI-ECG analysis and will not inform clinical care.
Phlebotomy for N-terminal pro-B-type natriuretic peptideOther
A single 10 mL venous blood sample will be collected from the prespecified subgroup of 203 participants for measurement of serum NT-proBNP. Samples will be analysed by the relevant hospital clinical biochemistry laboratory and disposed of after testing. Eligible same-day NT-proBNP measurements obtained as part of routine NHS care may also be included without an additional blood sample. NT-proBNP results collected for the study will not be used to alter clinical care.
| Study group | Role | What they receive |
|---|---|---|
| Echocardiography cohort | Adult inpatients and outpatients undergoing transthoracic echocardiography (TTE) as part of routine clinical care will be recruited prospectively. Participants will undergo study-specific 12-lead ECG acquisition and portable or wearable single-, 3-, and 6-lead ECG recordings. Patients with known severe structural heart disease are excluded, while patients with previously diagnosed structural abnormalities that do not meet the prespecified severe structural heart disease exclusion criteria may remain eligible. AI-ECG predictions will be generated offline and will not inform clinical care. Receives: Other: Traditional 12-lead Electrocardiogram; Other: Apple Watch Series 4 Single-lead Electrocardiogram; Other: Eko Core 500 Digital Stethoscope 3-lead Electrocardiogram; Other: AliveCor KardiaMobile Single- and 6-lead Electrocardiogram | |
| N-terminal pro B-type natriuretic peptide subgroup | A prespecified subgroup of 203 participants from the overall 590-participant cohort will be selected by stratified randomisation to undergo dedicated venepuncture for measurement of serum NT-proBNP. In addition, eligible same-day NT-proBNP measurements obtained as part of routine clinical care will be included in the NT-proBNP analysis where available. The final NT-proBNP analysis population may therefore exceed the dedicated 203-participant phlebotomy subgroup. Receives: Other: Traditional 12-lead Electrocardiogram; Other: Apple Watch Series 4 Single-lead Electrocardiogram; Other: Eko Core 500 Digital Stethoscope 3-lead Electrocardiogram; Other: AliveCor KardiaMobile Single- and 6-lead Electrocardiogram; Other: Phlebotomy for N-terminal pro-B-type natriuretic peptide |
What is being measured
The primary outcome is the main question the study is designed to answer.
AI-ECG model classification performance for detection of structural heart disease
Diagnostic performance of the AI-ECG models for detection of heart failure (HF), pulmonary hypertension (PH), and valvular heart disease (VHD) will be evaluated separately across conventional 12-lead, derived single-lead, and device-acquired single-, 3-, and 6-lead ECG modalities. The primary measure of model discrimination will be the area under the receiver operating characteristic curve (AUROC).
Measured: Single study visit on the day of clinically indicated TTE (approximately 30-35 minutes); diagnostic performance calculated following completion of data collection.
Secondary outcomes (4)
Additional AI-ECG performance metrics for detection of structural heart disease
Diagnostic performance will be evaluated separately for each AI-ECG model, disease phenotype, and ECG modality using the area under the precision-recall curve (AUPRC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score.
Measured: Single study visit on the day of clinically indicated TTE (approximately 30-35 minutes); diagnostic performance calculated following completion of data collection.
Comparison of AI-ECG diagnostic performance across ECG modalities
AI-ECG diagnostic performance will be compared across conventional 12-lead, derived single-lead, and device-acquired single-, 3-, and 6-lead ECG recordings obtained from the same participants. Comparisons will include AUROC and AUPRC, together with sensitivity, specificity, PPV, NPV, and F1 score, for each disease phenotype and ECG modality.
Measured: Single study visit on the day of clinically indicated TTE (approximately 30-35 minutes); diagnostic performance calculated following completion of data collection.
NT-proBNP diagnostic performance for detection of structural heart disease
The diagnostic performance of NT-proBNP for detection of HF, PH, and VHD will be evaluated against the same echocardiographic reference standards used for AI-ECG. Performance measures will include AUROC, AUPRC, sensitivity, specificity, PPV, NPV, and F1 score.
Measured: Single study visit on the day of clinically indicated TTE (approximately 30-35 minutes); diagnostic performance calculated following completion of data collection.
Combined AI-ECG and NT-proBNP diagnostic performance
AI-ECG predictions and NT-proBNP will be combined using logistic regression to evaluate the diagnostic performance of a combined digital and biochemical biomarker approach for detection of HF, PH, and VHD. Performance will be assessed using AUROC and AUPRC, with sensitivity, specificity, PPV, NPV, and F1 score also reported for binary model outputs.
Measured: Single study visit on the day of clinically indicated TTE (approximately 30-35 minutes); diagnostic performance calculated following completion of data collection.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Jul 2025
- Study start4 Nov 2025
- Primary completion3 May 2027 (estimated)
- Study completion2 Aug 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Valvular Heart Disease Stenosis and Regurgitation (Diagnosis)Studies of the same condition, open and under way.
- More trials run by Imperial College LondonThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 590 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Imperial College London
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07057466
- Sponsor's protocol ID
- 179372
- Other IDs
- FS/CRTF/25/24752, 25/EM/0166, 353515
- Acronym
- AI-ECG-SHD
- Status last verified
- Oct 2026
- First submitted
- 26 Jun 2025
- Last updated
- 8 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No