DigitHeart Echo Study
Cardiac Anatomical and Mechanical Properties Prediction From Electrocardiography (ECG) With Multi-Modal Representation Learning
The University of Hong Kong
478 participants
Feb 14, 2025
OBSERVATIONAL
Conditions
Summary
Eligible patients will be interviewed by research staff to explain the trial design and rationale. Written informed consent will be obtained from patients who voluntarily agree to participate. Demographics and medical history will be obtained. A 12-lead ECG will be performed; it has not been performed within 6 months. A photo of the 12-lead ECG will be taken by research staff using the DigitHeart-2 smartphone application. Predictions from DigitHeart-2/MERL-ECHO and other machine learning models hosted by the investigator team for each of the target anatomical and mechanical properties will be recorded. The cardiologist in charge of the patient, who is blinded to the prediction results from DigitHeart-2/MERL-ECHO, will perform echocardiography according to American Society of Echocardiography guidelines, which will serve as the gold standard for accuracy evaluation.
Eligibility
Inclusion Criteria3
- aged ≥ 18 years old
- planned to have echocardiography performed
- voluntarily agree to participate in the trial.
Exclusion Criteria5
- had echocardiography performed within 1 month
- pacemaker rhythm on ECG
- dextrocardia
- complex adult congenital heart disease
- ventricular assist device implantation.
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Interventions
Participants will undergo an echocardiography to determine their cardiac structure, heart function and valve function. The gold-standard measurement from the echocardiography text report will be the reference for validating the multi-modal prediction.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07558109