The ALERT-Pilot Study

Tongji University

Status: Unknown

Conditions: ECG Pattern; Artificial Intelligence; Myocardial Infarction, Acute

Treatments: Diagnostic Test: electrocardiogram diagnosed by artificial intelligence

Study type: Observational

Funder types: Other

Identifiers

NCT03317691

2017YFC0111800

Details and patient eligibility

About

the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram was established. The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular was evaluated.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. age≥18 years old;
2. the admitting doctor's diagnosis is ST-segment Elevation Myocardial Infarction.

Exclusion criteria

1. the admitting diagnosis is non-ST-segment Elevation Myocardial Infarction.
2. default data;
3. pregnancy, mental disorder, kidney failure;
4. except for criteria mention above, including some improper condition considered by investigators.

Trial design

2,000 participants in 1 patient group

ST segment Elevation Myocardial Infarction

Description:

ST segment Elevation Myocardial Infarction patients' diagnosis was confirmed by coronary artery angiography. The prior surgery electrocardiogram need to be collected.

Treatment:

Diagnostic Test: electrocardiogram diagnosed by artificial intelligence