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Related Experiment Video

Updated: Jun 13, 2026

Echocardiography-guided Injection for Targeted and Reliable Intramyocardial Stem Cell Delivery in a Rat Model of Myocardial Infarction
06:47

Echocardiography-guided Injection for Targeted and Reliable Intramyocardial Stem Cell Delivery in a Rat Model of Myocardial Infarction

Published on: July 25, 2025

Predicting Intramyocardial Hemorrhage Before Reperfusion in STEMI Patients With Intrinsically Explainable Artificial

Khalid Youssef1, Keyur P Vora1, Rajesh Gupta2

  • 1Cardiovascular Imaging Research Center, Medical Imaging Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA; Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.

JACC. Advances
|June 11, 2026
PubMed
Summary

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A New ICD-10 Code for Hemorrhagic Myocardial Infarction.

JACC. Advances·2026

An explainable AI model accurately predicts intramyocardial hemorrhage (IMH) in ST-segment elevation myocardial infarction (STEMI) patients before reperfusion, using key clinical variables to guide treatment decisions and potentially reduce IMH incidence.

Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Intramyocardial hemorrhage (IMH) affects nearly 40% of reperfused ST-segment elevation myocardial infarctions (STEMIs), correlating with poorer patient outcomes.
  • Currently, no reliable methods exist to identify STEMI patients at risk for IMH prior to reperfusion therapy.

Purpose of the Study:

  • To develop and validate an explainable artificial intelligence (AI) model for predicting IMH before reperfusion in STEMI patients.
  • To translate this AI model into a practical, bedside scoring system for clinical use.

Main Methods:

  • A cohort of 288 STEMI patients was analyzed, with 252 used for model development and 36 for validation.
  • Key predictors of IMH were identified using a Superposable Neural Network, incorporating electrocardiographic, angiographic, and clinical data obtained during coronary angiography.
Keywords:
ST-segment elevation myocardial infarctioncardiac magnetic resonanceexplainable artificial intelligenceintramyocardial hemorrhagepercutaneous coronary interventionrisk stratification

Related Experiment Videos

Last Updated: Jun 13, 2026

Echocardiography-guided Injection for Targeted and Reliable Intramyocardial Stem Cell Delivery in a Rat Model of Myocardial Infarction
06:47

Echocardiography-guided Injection for Targeted and Reliable Intramyocardial Stem Cell Delivery in a Rat Model of Myocardial Infarction

Published on: July 25, 2025

  • Cardiac magnetic resonance imaging (CMR) was used as the gold standard to confirm IMH presence 48-72 hours post-percutaneous coronary intervention.

    • Main Results:

    • The final predictive model integrated coronary collaterals, degree of coronary artery occlusion, and sum ST-score.
    • The model demonstrated high performance, achieving 84.9% accuracy, 82.3% sensitivity, and 87.3% specificity in the development cohort, and was validated with 83.3% accuracy, 81.3% sensitivity, and 85% specificity.
    • Cardiac MRI confirmed IMH in 142 of 288 patients, with significant differences in predictor variables between IMH-positive and IMH-negative groups.

    Conclusions:

    • Explainable AI effectively integrated clinical data from cardiac catheterization to predict IMH in STEMI patients pre-revascularization.
    • The developed scoring model offers a practical tool for real-time clinical decision-making.
    • This approach holds potential for future strategies aimed at mitigating IMH incidence in STEMI.