- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07027891
- Original Trial
The Rule-Out Acute Myocardial Infarction Using Aritifical Intelligence Electrocardiogram (ROMIAE) 2 Trial (ROMIAE 2)
July 26, 2026 updated by: Kyuseok Kim, CHA University
ROMIAE 2 Trial: Randomized Controlled Trial for Managing Suspicious Acute Myocardial Infarction in ED Using AI-ECG
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.
Study Overview
Status
Recruiting
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
4670
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Kyuseok Kim, MD, PhD
- Phone Number: +821047808321
- Email: dreinstein70@gmail.com
Study Locations
-
-
-
Seoul, South Korea, 06628
- Recruiting
- Asan Medical Center
-
Contact:
- Won Young Kim
- Phone Number: 01072715938
- Email: wonpia73@naver.com
-
Seoul, South Korea, 06628
- Recruiting
- Cha Bundang Medical Center
-
Contact:
- Kyuseok Kim
- Phone Number: 01047808321
- Email: dreinstein70@gmail.com
-
Seoul, South Korea, 06628
- Recruiting
- Ewha Womans University
-
Contact:
- Chul Han
- Phone Number: 01033591937
- Email: achwow@ewha.ac.kr
-
Seoul, South Korea, 06628
- Recruiting
- Gangnam Severance Hospital
-
Contact:
- Sung Phil Chung
- Phone Number: 01047808321
- Email: EMSTAR@yuhs.ac
-
Seoul, South Korea, 06628
- Recruiting
- Hanyang University
-
Contact:
- Tae Ho Im
- Phone Number: 01047808321
- Email: erthim@gmail.com
-
Seoul, South Korea, 06628
- Recruiting
- Jeonbuk National University Hospital
-
Contact:
- Jae Chol Yoon
- Phone Number: 01087818720
- Email: jcyoon75@jbnu.ac.kr
-
Seoul, South Korea, 06628
- Recruiting
- Korea University Ansan Hospital
-
Contact:
- Sejoong Ahn
- Phone Number: 01029460250
- Email: sejoongahn@naver.com
-
Seoul, South Korea, 06628
- Recruiting
- Korea University Guro Hospital
-
Contact:
- Sung Hyuk Choi
- Phone Number: 01050599090
- Email: kuedchoi@korea.ac.kr
-
Seoul, South Korea, 06628
- Recruiting
- Kyung Hee University Hospital
-
Contact:
- Ki Young Jeong
- Phone Number: 01098849119
- Email: fly10bird@gmail.com
-
Seoul, South Korea, 06628
- Recruiting
- Samsung Medical Center
-
Contact:
- Tae Gun Shin
- Phone Number: 01099335806
- Email: tackles@naver.com
-
Seoul, South Korea, 06628
- Recruiting
- Soonchunhyang University Bucheon Hospital
-
Contact:
- Hyun Noh
- Phone Number: 01047223657
- Email: dingii@schmc.ac.kr
-
Seoul, South Korea, 06628
- Recruiting
- Yonsei University Wonju College of Medicine
-
Contact:
- Kyung Chul Cha
- Phone Number: 0104780832101052043365
- Email: chaemp@yonsei.ac.kr
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- chest pain
- suspicious of acute myocardial infarction
Exclusion Criteria:
- STEMI
- Revisit of same symptoms within 1 week
- traumatic chest pain
- Pneumothorax
- Transferred from other hospital diagnosed of AMI
- Cardiac arrest
- Chest pain of clearly non-cardiac etiology
- declined to participate in the study
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control group
The patients in control group would be managed with usual care using HEART score in addition to recent acute coronary syndrome guideline.
|
|
|
Experimental: AI-ECG group
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.
|
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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
30 Days MACE(Major adverse cardiac events)
Time Frame: 30 days
|
Death, acute myocardial infarction, stroke, target vessel revascularization, stent thrombosis within 30 days from index visit
|
30 days
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Missed acute myocardial infarction at index visit
Time Frame: 30 days
|
Missed acute myocardial infarction at index ED visit, but is detected later in anyplace (Outpatient clinic, revisit to ED, or other hospital, etc)
|
30 days
|
|
AI-ECG 30 days MACE prediction performance
Time Frame: 30 days
|
AUROC and AUPRC by continuous AI-ECG score
|
30 days
|
|
AI-ECG 30 days MACE prediction performance
Time Frame: 30 Days
|
Sensitivity and specificity by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
|
30 Days
|
|
AI-ECG 30 days MACE prediction performance
Time Frame: 30 Days
|
Positive predictive value and Negative predictive value by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
|
30 Days
|
|
AI-ECG acute myocardial infarction (index visit) discrimination performance
Time Frame: 30 days
|
AUROC and AUPRC by continuous AI-ECG score
|
30 days
|
|
AI-ECG acute myocardial infarction (index visit) discrimination performance
Time Frame: 30 Days
|
Sensitivity and Specificity by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
|
30 Days
|
|
AI-ECG acute myocardial infarction (index visit) discrimination performance
Time Frame: 30 Days
|
Positive predictive value and Negative predictive value by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
|
30 Days
|
|
Medical resources utilization
Time Frame: 7 Days
|
Revisit to ED with same symptoms within 1 week
|
7 Days
|
|
Medical resources utilization
Time Frame: 30 days
|
length of stay in hospital
|
30 days
|
|
Medical resources utilization
Time Frame: 30 days
|
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).
|
30 days
|
|
Medical resources utilization
Time Frame: 24 hours
|
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).
|
24 hours
|
|
Medical resources utilization
Time Frame: 30 days
|
Admission rate will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4).
|
30 days
|
|
Medical resources utilization
Time Frame: 30 days
|
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).
|
30 days
|
|
Medical resources utilization
Time Frame: 30 days
|
Direct medical cost will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4).
|
30 days
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Compliance of medical doctor in AI-ECG low risk group
Time Frame: 7 days
|
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.
|
7 days
|
|
Compliance of medical doctor in AI-ECG low risk group
Time Frame: 7 days
|
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.
|
7 days
|
|
Compliance of medical doctor in AI-ECG low risk group
Time Frame: 7 days
|
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
|
7 days
|
|
Compliance of medical doctor in AI-ECG high risk group
Time Frame: 7 Days
|
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.
|
7 Days
|
|
Compliance of medical doctor in AI-ECG high risk group
Time Frame: 7 Days
|
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.
|
7 Days
|
|
Compliance of medical doctor in AI-ECG high risk group
Time Frame: 7 Days
|
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).
|
7 Days
|
|
Compliance of medical doctor in AI-ECG high risk group
Time Frame: 7 Days
|
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.
|
7 Days
|
|
Compliance of medical doctor in AI-ECG high risk group
Time Frame: 7 Days
|
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.
|
7 Days
|
|
Compliance of medical doctor in AI-ECG high risk group
Time Frame: 7 Days
|
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.
|
7 Days
|
|
Satisfaction score of patients
Time Frame: 7 Days
|
Satisfaction score using AI-ECG from 1-10 (1 is lowest, 10 is highest)
|
7 Days
|
|
Satisfaction score of medical personnel
Time Frame: 7 Days
|
Satisfaction score using AI-ECG from 1-10 (1 is lowest, 10 is highest)
|
7 Days
|
|
AI-ECG occlusive myocardial infarction detection performance
Time Frame: 30 days
|
AUROC and AUPRC by continuous AI-ECG score
|
30 days
|
|
AI-ECG occlusive myocardial infarction detection performance
Time Frame: 30 days
|
Sensitivity and Specificity by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
|
30 days
|
|
AI-ECG occlusive myocardial infarction detection performance
Time Frame: 30 days
|
Positive predictive value and Negative predictive value by pre-specified cutoff thresholds for Low to intermediate risk or intermediate to high risk
|
30 days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: KYUSEOK Kim, MD, PhD, CHA University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
July 1, 2025
Primary Completion (Estimated)
December 30, 2027
Study Completion (Estimated)
February 28, 2028
Study Registration Dates
First Submitted
May 27, 2025
First Submitted That Met QC Criteria
June 17, 2025
First Posted (Actual)
June 19, 2025
Study Record Updates
Last Update Posted (Actual)
July 28, 2026
Last Update Submitted That Met QC Criteria
July 26, 2026
Last Verified
July 1, 2026
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pain
- Neurologic Manifestations
- Vascular Diseases
- Cardiovascular Diseases
- Pathologic Processes
- Heart Diseases
- Disease Attributes
- Infarction
- Necrosis
- Myocardial Ischemia
- Ischemia
- Pathological Conditions, Signs and Symptoms
- Signs and Symptoms
- Emergencies
- Myocardial Infarction
- Acute Coronary Syndrome
- Chest Pain
Other Study ID Numbers
- ROMIAE II trial
- RS-2025-02213791 (Other Grant/Funding Number: Korea Health Technology R&D Project)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
The data would be shared with other researchers when they contact to the principal investigator with reasonable context.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.