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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.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
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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
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
Are there results?
Not yet: the study is under way

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.

Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA contact

+44 02075943614

a.el-medany24@imperial.ac.uk

6 sites in 1 country

United Kingdom6 sites, 6 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

    Recruiting

Other trials in United Kingdom

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.

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 groups in NCT07057466
Study groupRoleWhat they receive
Echocardiography cohortAdult 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 subgroupA 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.

  1. 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)
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  1. First posted9 Jul 2025
  2. Study start4 Nov 2025
  3. Primary completion3 May 2027 (estimated)
  4. Study completion2 Aug 2027 (estimated)

Resources

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)
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

Questions about this trial

What is this clinical trial studying?

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.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: looking for participants now, as of the sponsor's last update on 8 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 6 sites in United Kingdom. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Ahmed YM El-Medany, MBChB, MRCP, MSc, FHEA (+44 02075943614, a.el-medany24@imperial.ac.uk), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

AI-ECG model classification performance for detection of structural heart disease (time frame: Single study visit on the day of clinically indicated TTE (approximately 30-35 minutes); diagnostic performance calculated following completion of data collection.). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 8 Oct 2026.

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