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DigitHeart Echo Study
Sponsor: The University of Hong Kong
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.
Official title: Cardiac Anatomical and Mechanical Properties Prediction From Electrocardiography (ECG) With Multi-Modal Representation Learning
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
478
Start Date
2025-02-14
Completion Date
2027-02-14
Last Updated
2026-04-30
Healthy Volunteers
Yes
Interventions
echocardiography
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)
Department of Medicine Queen Marry Hospital, Hong Kong
Hong Kong, Hong Kong