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Not yet recruitingNCT07882849TRIACS-MBUpdated Oct 20, 2026

AI-ECG Detection of Occlusion Myocardial Infarction at Emergency Department Triage (TRIACS)

An observational study in Acute Coronary Syndromes, Chest Pain and Myocardial Infarction (MI), sponsored by University Medical Centre Maribor. Not yet recruiting at 1 site in Slovenia. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-10-20.

Sponsored by University Medical Centre Maribor · Observational

Updated Oct 20, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
1,000
Ages
18 Years and older
Sex
All
01

Study summary

Chest pain is among the most common reasons people attend an emergency department, and the electrocardiogram (ECG) recorded at triage is the first test used to decide who needs urgent treatment for a blocked coronary artery. Recognising the ECG patterns that indicate an acutely blocked artery is difficult. Many such patterns do not produce the classic ST-segment elevation, and identifying them reliably requires a level of ECG expertise that is not always available at the point of triage - particularly at night and among clinicians who are not cardiologists.

Artificial intelligence (AI) models that read the 12-lead ECG have been shown in several retrospective studies, mainly from Western Europe and the United States, to identify acute coronary occlusion more sensitively than conventional interpretation. These models are now in clinical use in a number of health systems. Their performance has not been assessed in a prospectively enrolled, unselected Slovenian emergency department population, and diagnostic accuracy commonly declines when a model is applied outside the setting in which it was developed.

TRIACS is a prospective, single-centre, observational external validation study in the Emergency Department of University Medical Centre Maribor. All consecutive adults presenting with symptoms suggestive of acute coronary syndrome who have a 12-lead ECG recorded at triage as part of routine care will be enrolled. Each triage ECG is analysed by the AI model. The model's output is withheld from all treating clinicians and plays no part in patient care; every patient receives standard guideline-directed management.

The main aim is to measure how accurately the AI model identifies angiographically confirmed occlusion myocardial infarction in this population, and to compare its accuracy with the triage decision actually made by the clinical team. The study is therefore designed to inform an adoption decision in either direction, rather than to demonstrate a predetermined conclusion.

Read the detailed description

**Background.** Approximately one quarter to one third of patients ultimately diagnosed with non-ST-elevation myocardial infarction have an acutely occluded culprit artery, and delayed invasive management in this group is associated with substantially higher mortality. The Fifth Universal Definition of Myocardial Infarction (2026) has broadened the formal electrocardiographic criteria for myocardial ischaemia to include ST-segment depression patterns, posterior and right-sided lead criteria, the Aslanger pattern, the South African flag sign and modified Sgarbossa criteria. Applying these criteria reliably requires expert-level ECG interpretation. The practical diagnostic gap at the point of triage is therefore now less a matter of criteria than of the expertise available to apply them.

AI-based ECG interpretation has demonstrated superior sensitivity to conventional millimetre criteria in retrospective multicentre cohorts and is in clinical deployment in several health systems. Prospective validation in unselected emergency department populations remains limited, and reported accuracy commonly declines on external validation.

  • Design.** Prospective, single-centre, observational diagnostic accuracy study (external validation of an existing diagnostic model). Reported in accordance with TRIPOD+AI and STARD.
  • Setting.** Emergency Department, University Medical Centre Maribor, Slovenia. Approximately 4,500-5,000 chest-pain presentations annually; approximately 910 ED-linked coronary procedures annually.
  • Population.** Consecutive adults (≥18 years, no upper age limit) presenting to ED triage with symptoms suspicious for acute coronary syndrome in whom a 12-lead ECG is recorded and digitally captured at triage as part of routine care.
  • Index test.** 'PM Cardio, Queen of Hearts', a CE-marked deep-learning model returning a binary verdict accompanied by a confidence tier and, where available, a continuous probability score. Only the first 12-lead ECG recorded at triage is analysed; one ECG per presentation. The decision threshold is fixed a priori at the manufacturer's on-label cut-off for the general chest-pain population. No threshold optimisation is performed for the primary analysis.
  • Blinding.** The triage nurse, all treating emergency physicians and all consulting cardiologists are blinded to AI output. AI inference is performed in batch after the clinical episode has concluded. No AI output is entered into the medical record, is accessible from any clinical system, or is communicated to any member of the clinical team at any point. Reference-standard adjudication is performed by an independent adjudicator blinded to AI output.
  • Reference standard.** The primary target condition is occlusion myocardial infarction (OMI):

symptoms or signs consistent with myocardial ischaemia, AND acute myocardial injury demonstrated by a dynamic rise and/or fall in high-sensitivity cardiac troponin I with at least one value above the sex-specific 99th percentile upper reference limit, meeting the criteria for **primary myocardial infarction** under the Fifth Universal Definition of Myocardial Infarction (2026), AND angiographic evidence of an acute culprit lesion with either (a) TIMI flow grade 0-1, or (b) TIMI flow grade 2-3 with emergent or urgent percutaneous revascularisation.

Under the Fifth UDMI an isolated troponin elevation without ischaemic symptoms or signs constitutes myocardial injury, not infarction, and does not satisfy this definition. Primary myocardial infarction is no longer restricted to atherothrombosis and encompasses spontaneous coronary artery dissection, coronary embolism and vasospasm; such cases meet the reference standard where the angiographic criterion is satisfied. Myocardial injury with non-obstructive coronary arteries (MINOCA, a working rather than final diagnosis under the Fifth UDMI) is adjudicated as OMI-negative and reported as a named category.

Because coronary angiography is not performed in all patients, a composite reference standard is used with the verification route pre-specified:

  • **Angiographed during the index episode:** adjudicated on angiographic and biomarker data as above.
  • **Not angiographed:** adjudicated OMI-negative where serial hs-cTnI testing (ESC 0/1 h algorithm) rules out myocardial infarction, the discharge diagnosis excludes acute myocardial infarction, and 30-day follow-up shows no myocardial infarction, unplanned revascularisation or cardiac death.
  • **Biomarker-positive, managed non-invasively:** adjudicated individually by the blinded adjudicator using all available clinical, biomarker and imaging data.

Ambiguous or discordant cases are reviewed by a second independent adjudicator, with disagreement resolved by consensus. Inter-adjudicator agreement is reported (Cohen's kappa).

  • Comparators.** (i) The standard-of-care triage decision actually made by the clinical team, defined as urgent cardiology referral or catheterisation laboratory activation within 10 minutes of ECG availability, extracted from routine records; (ii) conventional ST-elevation millimetre criteria; (iii) the full electrocardiographic ischaemia criteria of the Fifth UDMI. Comparators (ii) and (iii) are applied to the same triage ECG by a reviewer blinded to AI output, clinical course and outcome.
  • Follow-up.** 30 days from index presentation, via hospital records and national registry linkage.
02

Conditions studied

  • Acute Coronary Syndromes
  • Chest Pain
  • Myocardial Infarction (MI)
  • NSTEMI - Non-ST Segment Elevation MI
  • ST Elevation Myocardial Infarction
  • Occlusion Myocardial Infarction

Keywords

  • ECG
  • AI ECG analysis
  • ACS
  • Acute Coronary Syndrome
  • Chest Pain
  • Emergency department
  • PCI
  • Percutaneous coronary intervention
03

In context

Acute Coronary Syndrome

1,492 studies on the registry are indexed under Acute Coronary Syndrome; 270 are open to participants now.

This study's planned enrollment of 1,000 is above the median of 500 across 579 observational studies indexed under Acute Coronary Syndrome.

Browse Acute Coronary Syndrome studies →

Lead sponsor

University Medical Centre Maribor is the lead sponsor of 36 studies on the registry; 8 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

All adults presenting to ED of UKC Maribor, triaged as chest pain that have ECG recorded and agree to be included into study.

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.

Inclusion criteria

  • Age ≥18 years
  • Presentation to ED triage with symptoms suspicious for acute coronary syndrome, including chest discomfort, dyspnoea, epigastric pain, or other anginal equivalents
  • Standard 12-lead ECG recorded at triage as part of routine care, available in machine-readable or interpretable image format

Exclusion criteria

Exclusion Criteria:

  • Traumatic cause of chest pain
  • Ventricular arrhythmia or ongoing cardiopulmonary resuscitation at the time of the triage ECG
  • ECG of insufficient technical quality for analysis (recorded and reported as an exclusion count)
  • Patients with prehospital STEMI diagnosis transported directly to the catheterisation laboratory and bypassing ED triage
  • Patients for whom laboratory results are not retrievable by UKC MB
  • Declined participation / withdrawal of consent
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
1,000 participants (estimated)
Patient registry
No

Groups and cohorts

  • Suspected acute coronary syndrome at ED triage

    Consecutive adults with a digitally captured triage 12-lead ECG. No intervention assigned; AI analysis performed on routinely acquired ECGs with output withheld from clinicians.

06

What researchers measure

Primary outcomes

  1. Diagnostic accuracy of the AI-ECG model for angiographically confirmed occlusion myocardial infarction

    Sensitivity, specificity, positive predictive value, negative predictive value, overall accuracy and area under the receiver-operating characteristic curve of the AI model's verdict on the first 12-lead ECG recorded at triage, against the pre-specified composite reference standard for OMI. The decision threshold is fixed a priori at the manufacturer's on-label cut-off; no threshold optimisation is performed.

    Time frame: From triage ECG to 7 and 30 days after index presentation

Secondary outcomes

  1. Comparative diagnostic accuracy versus formal STEMI criteria

    Compared with the full ECG criteria for myocardial ischaemia and infarction under the Fifth UDMI (2026): the thresholds in 2a, plus new horizontal or down-sloping ST-segment depression ≥0.5 mm at the J-point in two or more contiguous leads; T-wave inversion \>1 mm in two contiguous leads; posterior infarction patterns (ST-depression ≥1 mm in V1-V3, particularly with dominant R wave, confirmed by ST-elevation in V7-V9); right ventricular infarction (ST-elevation in V3R-V6R); the Aslanger pattern; the South African flag sign; and modified Sgarbossa criteria in LBBB and ventricular pacing. Applied by a blinded reviewer.

    Time frame: From triage ECG to 7 and 30 days after index presentation

  2. Versus conventional ST-elevation millimetre criteria

    Compared with ST-elevation at the J-point in two contiguous leads: ≥1 mm in all leads other than V2-V3; in V2-V3, ≥2 mm in men ≥40 years, ≥2.5 mm in men \<40 years, ≥1.5 mm in women. Applied by a blinded reviewer. Retained because it corresponds to the criteria used in the prior validation literature and permits direct comparison with those cohorts.

    Time frame: From triage ECG to 7 and 30 days after index presentation

Other outcomes

  1. Proportion of triage ECG recordings successfully linked to the patient record

    Proportion of 12-lead ECGs recorded at triage that are successfully linked to the correct patient encounter using barcode scanning of the patient wristband label, with the denominator being all triage ECGs recorded in patients presenting with chest pain.

    Time frame: During the index ED visit, over the 12-month recruitment period

  2. Diagnostic accuracy of AI-based ECG analysis in pre-specified patient subgroups

    Sensitivity, specificity and AUROC with 95% confidence intervals, calculated separately within pre-specified subgroups: sex; age category (\<65, 65-79, 80 years and over); estimated glomerular filtration rate (\<60 vs 60 mL/min/1.73 m² and above); Manchester triage acuity category; reported duration of symptoms; and mode of arrival (ambulance vs self-presentation). These analyses are exploratory and hypothesis-generating; no formal adjustment for multiple comparisons is planned, and differences between subgroups will be interpreted descriptively.

    Time frame: Through 30 days after the index ED visit

  3. Proportion of enrolled patients for whom an initial high-sensitivity troponin result is retrievable, stratified by care pathway and by triage stream. Reported with reasons for non-retrievability

    Proportion of enrolled patients for whom an initial high-sensitivity troponin result is retrievable, stratified by care pathway and by triage stream. Reported with reasons for non-retrievability. This quantifies the data-linkage limitation.

    Time frame: Index hospitalisation, up to 5 days

07

Study locations

1 site
  • UKC Maribor
    Maribor, 2000, Slovenia
    • Luka Petravić, MD · Contact · luka.petravic@ukc-mb.si · +38623210000
    • David Šuran, MD, PhD · Sub investigator
    • Aleks Šuštar, MD · Sub investigator
    • Rok Arh, MD · Sub investigator
    • Janez Žibert, PhD · Sub investigator
    • Jernej Mori, MSc · Sub investigator
    • Matej Strnad, MD, PhD · Sub investigator
    • Andraž Logar · Sub investigator
08

References and documents

Publications

  • Herman R, Mumma BE, Hoyne JD, Cooper BL, Johnson NP, Kisova T, Demolder A, Rafajdus A, Iring A, Palus T, Belmonte M, Barbato E, Baron SJ, Hatala R, Smith SW, Meyers HP, Sharkey SW, Bartunek J, Henry TD. AI-Enabled ECG Analysis Improves Diagnostic Accuracy and Reduces False STEMI Activations: A Multicenter U.S. Registry. JACC Cardiovasc Interv. 2026 Jan 26;19(2):145-156. doi: 10.1016/j.jcin.2025.10.018. Epub 2025 Oct 28. PubMed 41158088 ↗
  • Herman R, Meyers HP, Smith SW, Bertolone DT, Leone A, Bermpeis K, Viscusi MM, Belmonte M, Demolder A, Boza V, Vavrik B, Kresnakova V, Iring A, Martonak M, Bahyl J, Kisova T, Schelfaut D, Vanderheyden M, Perl L, Aslanger EK, Hatala R, Wojakowski W, Bartunek J, Barbato E. International evaluation of an artificial intelligence-powered electrocardiogram model detecting acute coronary occlusion myocardial infarction. Eur Heart J Digit Health. 2023 Nov 28;5(2):123-133. doi: 10.1093/ehjdh/ztad074. eCollection 2024 Mar. PubMed 38505483 ↗
  • Hellerman MB, Wang C, Zhang DT, Kalogeropoulos AP, Skopicki HA. Detecting Occlusion Myocardial Infarction with an AI-Powered ECG Model: A Retrospective Cohort Study. J Pers Med. 2026 Mar 24;16(4):174. doi: 10.3390/jpm16040174. PubMed 42042541 ↗
  • Hassannataj Joloudari J, Mojrian S, Nodehi I, Mashmool A, Kiani Zadegan Z, Khanjani Shirkharkolaie S, Alizadehsani R, Tamadon T, Khosravi S, Akbari Kohnehshari M, Hassannatajjeloudari E, Sharifrazi D, Mosavi A, Loh HW, Tan RS, Acharya UR. Application of artificial intelligence techniques for automated detection of myocardial infarction: a review. Physiol Meas. 2022 Aug 3;43(8). doi: 10.1088/1361-6579/ac7fd9. PubMed 35803247 ↗
  • Bdir S, Jaber M, Tanbouz O, Milhem F, Sarhan I, Bdair M, Alhroob T, Abu Alya W, Qneibi M. Artificial Intelligence for Myocardial Infarction Detection via Electrocardiogram: A Scoping Review. J Clin Med. 2025 Sep 25;14(19):6792. doi: 10.3390/jcm14196792. PubMed 41095870 ↗
  • Oke OA, Cavus N. A systematic review on the impact of artificial intelligence on electrocardiograms in cardiology. Int J Med Inform. 2025 Mar;195:105753. doi: 10.1016/j.ijmedinf.2024.105753. Epub 2024 Dec 9. PubMed 39674006 ↗
  • Bishop AJ, Nehme Z, Nanayakkara S, Anderson D, Stub D, Meadley BN. Artificial neural networks for ECG interpretation in acute coronary syndrome: A scoping review. Am J Emerg Med. 2024 Sep;83:1-8. doi: 10.1016/j.ajem.2024.06.026. Epub 2024 Jun 24. PubMed 38936320 ↗
  • Chan PZ, Ramli MAIB, Chew HSJ. Diagnostic Test Accuracy of artificial intelligence-assisted detection of acute coronary syndrome: A systematic review and meta-analysis. Comput Biol Med. 2023 Dec;167:107636. doi: 10.1016/j.compbiomed.2023.107636. Epub 2023 Oct 25. PubMed 37925910 ↗

Individual participant data

Plan to share: Yes — Anonymous study data will be shared via https://www.adp.fdv.uni-lj.si

Supporting information: Study protocol, Analytic code

Time frame: 1 year

Access criteria: Approval by ADP

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Oct 2026; primary completion for Oct 2027, 12 months later.

Of 237 non-industry observational studies under Acute Coronary Syndrome, half reached primary completion within 37 months of starting (the median), counting those still running; a quarter within 18 and three quarters within 71. This study's planned 12 months is below that.

Counting every sponsor, half of 274 studies reached it within 35 months; a quarter within 18 and three quarters within 68.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 12, 2026
First posted
Oct 20, 2026
StartEst.
Oct 19, 2026
Primary completionEst.
Oct 19, 2027
CompletionEst.
Nov 19, 2027
Last update
Oct 20, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Oct 20, 2026
Show all 1 update
  1. Oct 20, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07882849
Lead sponsor
University Medical Centre Maribor
Collaborators
3fs Nordic SI, d.o.o., University of Ljubljana
Responsible party
Luka Petravic, MD (Research Assistant, Medical Doctor, University Medical Centre Maribor) — Principal investigator
First posted
Oct 20, 2026
Start date
Oct 19, 2026 (estimated)
Primary completion
Oct 19, 2027 (estimated)
Completion
Nov 19, 2027 (estimated)
Last update
Oct 20, 2026

Study contacts

Luka Petravić, MD, MD
Contact
luka.petravic@ukc-mb.si
+38623210000
Luka Petravić, MD
principal investigator · UKC Maribor

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.

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