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The ALERT-Pilot Study

Conditions
Myocardial Infarction, Acute
ECG Pattern
Artificial Intelligence
Registration Number
NCT03317691
Lead Sponsor
Shanghai 10th People's Hospital
Brief Summary

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.

Detailed Description

Not available

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
2000
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.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram24 hours

All the electrocardiograms done before coronary arteriography were read by artificial intelligent. Then according to results of coronary angiogram, artificial intelligent can establish a algorithm of to diagnose myocardial infarction.

The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular24 hours

The accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular was evaluated.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Shanghai Tenth People's Hospital

🇨🇳

Shanghai, Shanghai, China

Shanghai Tenth People's Hospital
🇨🇳Shanghai, Shanghai, China
Yawei Xu, Professor of medicine
Contact
+86 02166306920
xuyaweicn@yahoo.com.cn
Yi Zhang, Professor
Contact
+86 02166306920
yizshcn@gmail.com

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