DigitHeart Echo: predicting heart ultrasound findings from a smartphone photo of your ECG
Cardiac Anatomical and Mechanical Properties Prediction From Electrocardiography (ECG) With Multi-Modal Representation Learning
This test checks whether a smartphone app can predict echocardiogram findings from a photo of a 12‑lead ECG in adults scheduled for echocardiography.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 478 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | The University of Hong Kong Academic / other |
| Locations | 1 site (Hong Kong) |
| Trial ID | NCT07558109 on ClinicalTrials.gov |
What this trial studies
Adults who consent will have demographics and medical history recorded and a 12‑lead ECG taken if no recent ECG is available. Research staff will photograph the ECG using the DigitHeart‑2 smartphone application and record predictions from DigitHeart‑2/MERL‑ECHO and other machine‑learning models. A cardiologist blinded to the model outputs will perform echocardiography according to American Society of Echocardiography guidelines, and those echo results will serve as the gold standard for accuracy comparisons. The study is observational and does not change participants' clinical care.
Who should consider this trial
Good fit: Adults (≥18 years) who are scheduled for clinical echocardiography, can give informed consent, and meet exclusion criteria (no recent echo, no pacemaker rhythm, no dextrocardia, no complex adult congenital heart disease, no ventricular assist device).
Not a fit: Patients with pacemaker rhythm, dextrocardia, complex adult congenital heart disease, ventricular assist devices, or those who recently had an echocardiogram are unlikely to receive benefit from the model predictions.
Why it matters
Potential benefit: If successful, this could allow clinicians to screen or triage structural and mechanical heart problems using a smartphone photo of a standard ECG, speeding diagnosis and referral.
How similar studies have performed: Prior machine‑learning analyses of standard 12‑lead ECGs have shown promise for detecting left ventricular dysfunction and other structural abnormalities, though using smartphone photos and these exact models is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * aged ≥ 18 years old * planned to have echocardiography performed * voluntarily agree to participate in the trial. Exclusion Criteria: * had echocardiography performed within 1 month * pacemaker rhythm on ECG * dextrocardia * complex adult congenital heart disease * ventricular assist device implantation.
Where this trial is running
Hong Kong
- Department of Medicine Queen Marry Hospital, Hong Kong — Hong Kong, Hong Kong (Recruiting)
Study contacts
- Study coordinator: Chun Ka Dr Wong, Clinical Assistant Professor
- Email: wongeck@hku.hk
- Phone: +852-22553111
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.