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The ALERT-Pilot Study

Automatic Diagnosis of ST-segment Elevated Myocardial Infarction by Artificial Intelligence-based Electrocardiographic System:The ALERT-Pilot Study

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03317691
Enrollment
2000
Registered
2017-10-23
Start date
2017-10-20
Completion date
2018-11-01
Last updated
2017-11-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence, ECG Pattern, Myocardial Infarction, Acute

Keywords

myocardial infarction, artificial Intelligence, 12 lead electrocardiogram

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.

Interventions

DIAGNOSTIC_TESTelectrocardiogram diagnosed by artificial intelligence

According to coronary angiogram results, the accuracy of STEMI patients' electrocardiogram diagnosis by artificial intelligence was evaluated.

Sponsors

Shanghai 10th People's Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram24 hoursAll 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 hoursThe accuracy of using artificial intelligent to diagnose acute ST-segment elevation myocardial infarction and judge criminal vascular was evaluated.

Countries

China

Contacts

Primary ContactYawei Xu, Professor
xuyaweicn@yahoo.com.cn+86 02166306920
Backup ContactYi Zhang, Professor
yizshcn@gmail.com+86 02166306920

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026