An interventional study of AI-ECG in Myocardial Infarction (MI) and Chest Pain Rule Out Myocardial Infarction, sponsored by CHA University. Recruiting at 12 sites in South Korea. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-28.
Sponsored by CHA University · Not applicable, Interventional, and Diagnostic
This study is to see whether the AI ECG assisted protocol is as safe and efficacious as conventional protocol in early triage of suspected myocardial infarction.
2,270 studies on the registry are indexed under Myocardial Infarction; 371 are open to participants now.
This study's planned enrollment of 4,670 is above the median of 150 across 1,314 interventional studies indexed under Myocardial Infarction.
Browse Myocardial Infarction studies →CHA University is the lead sponsor of 54 studies on the registry; 17 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
The patients in control group would be managed with usual care using HEART score in addition to recent acute coronary syndrome guideline.
The patients in AI-ECG group would be managed with the information of the myocardial infarction risk score in AI-ECG in addition to the usual care.
Device: AI-ECG
The patients in AI-ECG group would be managed with the information of the myocardial infarction risk score in AI-ECG in addition to the usual care.
30 Days MACE(Major adverse cardiac events)
Death, acute myocardial infarction, stroke, target vessel revascularization, stent thrombosis within 30 days from index visit
Time frame: 30 days
Missed acute myocardial infarction at index visit
Missed acute myocardial infarction at index ED visit, but is detected later in anyplace (Outpatient clinic, revisit to ED, or other hospital, etc)
Time frame: 30 days
AI-ECG 30 days MACE prediction performance
AUROC and AUPRC by continuous AI-ECG score
Time frame: 30 days
AI-ECG 30 days MACE prediction performance
Sensitivity and specificity by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
Time frame: 30 Days
AI-ECG 30 days MACE prediction performance
Positive predictive value and Negative predictive value by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
Time frame: 30 Days
AI-ECG acute myocardial infarction (index visit) discrimination performance
AUROC and AUPRC by continuous AI-ECG score
Time frame: 30 days
AI-ECG acute myocardial infarction (index visit) discrimination performance
Sensitivity and Specificity by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
Time frame: 30 Days
AI-ECG acute myocardial infarction (index visit) discrimination performance
Positive predictive value and Negative predictive value by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
Time frame: 30 Days
Medical resources utilization
Length of stay in ED will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4).
Time frame: 30 days
Medical resources utilization
Early discharge from ED(within 4 hours) will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4).
Time frame: 24 hours
Medical resources utilization
Revisit to ED with same symptoms within 1 week
Time frame: 7 Days
Medical resources utilization
Admission rate will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4).
Time frame: 30 days
Medical resources utilization
length of stay in hospital
Time frame: 30 days
Medical resources utilization
It would be evaluated by the rate of all additional tests including cardiac CT, coronary angiography, echocardiography, and stress test. These will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4).
Time frame: 30 days
Medical resources utilization
Direct medical cost will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4).
Time frame: 30 days
Compliance of medical doctor in AI-ECG low risk group
Compliance of medical doctors to AI-ECG results in AI-ECG low risk group according to the study period(Q1 to Q4), which would be evaluated by discharge rate from ED.
Time frame: 7 days
Compliance of medical doctor in AI-ECG low risk group
Compliance of medical doctors to AI-ECG results in AI-ECG low risk group according to the study period(Q1 to Q4), which would be evaluated by the rate of no follow-up troponin check.
Time frame: 7 days
Compliance of medical doctor in AI-ECG low risk group
Compliance of medical doctors to AI-ECG results in AI-ECG low risk group according to the study period(Q1 to Q4), which would be evaluated by the rate of only baseline and 1 h follow-up troponin check
Time frame: 7 days
Compliance of medical doctor in AI-ECG high risk group
Compliance of medical doctors to AI-ECG results in AI-ECG high risk group according to the study period(Q1 to Q4), which would be evaluated by admission rate.
Time frame: 7 Days
Compliance of medical doctor in AI-ECG high risk group
Compliance of medical doctors to AI-ECG results in AI-ECG high risk group according to the study period(Q1 to Q4), which would be evaluated by the sum rate of additional tests such as coronary artery CT, CAG, stress test.
Time frame: 7 Days
Compliance of medical doctor in AI-ECG high risk group
Compliance of medical doctors to AI-ECG results in AI-ECG high risk group according to the study period(Q1 to Q4), which would be evaluated by the rate of full check up of troponin(0, 1h, 2h).
Time frame: 7 Days
Compliance of medical doctor in AI-ECG high risk group
Compliance of medical doctors to AI-ECG results in AI-ECG high risk group according to the study period(Q1 to Q4), which would be evaluated by time from ED to admission.
Time frame: 7 Days
Compliance of medical doctor in AI-ECG high risk group
Compliance of medical doctors to AI-ECG results in AI-ECG high risk group according to the study period(Q1 to Q4), which would be evaluated by time to CAG.
Time frame: 7 Days
Compliance of medical doctor in AI-ECG high risk group
Compliance of medical doctors to AI-ECG results in AI-ECG high risk group according to the study period(Q1 to Q4), which would be evaluated by cardiology contact rate.
Time frame: 7 Days
Satisfaction score of patients
Satisfaction score using AI-ECG from 1-10 (1 is lowest, 10 is highest)
Time frame: 7 Days
Satisfaction score of medical personnel
Satisfaction score using AI-ECG from 1-10 (1 is lowest, 10 is highest)
Time frame: 7 Days
AI-ECG occlusive myocardial infarction detection performance
AUROC and AUPRC by continuous AI-ECG score
Time frame: 30 days
AI-ECG occlusive myocardial infarction detection performance
Sensitivity and Specificity by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
Time frame: 30 days
AI-ECG occlusive myocardial infarction detection performance
Positive predictive value and Negative predictive value by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
Time frame: 30 days
Plan to share: Yes — The data would be shared with other researchers when they contact to the principal investigator with reasonable context.
Supporting information: Study protocol, Statistical analysis plan, Informed consent form, Clinical study report, Analytic code
No publications or documents are linked to this record.
Started Jul 2025 (actual). Primary completion is estimated for Dec 2027, 29 months after the start.
Of 321 non-industry interventional studies with no phase under Myocardial Infarction, half reached primary completion within 35 months of starting (the median), counting those still running; a quarter within 14 and three quarters within 58. This study's planned 29 months is below that.
Counting every sponsor, half of 354 studies reached it within 34 months; a quarter within 15 and three quarters within 57.
How these figures are worked out, and which studies are left out of them.
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