Artificial Intelligence-enhanced Electrocardiogram Diagnoses and Predicts Future Regurgitant Valvular Heart Diseases

Fudan University

Status: Completed

Conditions: Electrocardiogram, Valvular Heart Disease

Treatments: Other: No intervention

Study type: Observational

Funder types: Other

Identifiers

NCT06475157

AIECG_VHDP

Details and patient eligibility

About

This is a retrospective study to establish models for the prediction of future valvular heart diseases with artificial intelligence-enhanced electrocardiogram (ECG).

Enrollment: 500,000 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Subjects that received ECG and echocardiography tests during a date frame.

Exclusion criteria

• Subjects who is younger than 18 years of age.

Trial design

500,000 participants in 2 patient groups

Patient group with progression of valvular heart diseases

Treatment:

Other: No intervention

Patient group without progression of valvular heart diseases

Treatment:

Other: No intervention