Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Acute Coronary Syndrome III: Diagnostic Studies

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Arterial Pulse Tapping Artifact Mimicking Acute Coronary Syndrome on Electrocardiogram.

JACC. Case reports·2026

Same author

Heart Failure and Cognitive Impairment Through the Lens of the Gut Microbiome: A Narrative Review.

Journal of personalized medicine·2025

Same author

GLP-1 Receptor Agonists in Heart Failure.

Biomolecules·2025

Same author

Does a Pacemaker Make a Difference? Long-Term Outcomes Post-AF Ablation in Tachy-Brady Syndrome.

Journal of cardiovascular electrophysiology·2025

Same author

Lipoprotein(a) as a Predictor of Cardiovascular Risk in Acute Coronary Syndrome Patients Undergoing Percutaneous Coronary Intervention: A Systematic Review.

Reviews in cardiovascular medicine·2025

Same author

Computer vision detects covert voluntary facial movements in unresponsive brain injury patients.

Communications medicine·2025

Search research articles

Related Experiment Video

Updated: Apr 28, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

Detecting Occlusion Myocardial Infarction with an AI-Powered ECG Model: A Retrospective Cohort Study.

Mark B Hellerman¹, Cassie Wang², David T Zhang¹

¹Division of Cardiology, Department of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.

Journal of Personalized Medicine

|April 27, 2026

Summary

An artificial intelligence (AI) model accurately identifies myocardial infarctions (OMIs) with total coronary occlusion using ECGs. This AI tool shows superior performance compared to STEMI criteria in diagnosing OMIs, including those in NSTEMI patients.

Keywords:

ECG acute coronary syndrome artificial intelligence myocardial infarction occlusion myocardial infarction

More Related Videos

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

Author Spotlight: A Novel Standardized Technique for Real-Time Biomedical Imaging of Acute Myocardial Injury

Author Spotlight: A Novel Standardized Technique for Real-Time Biomedical Imaging of Acute Myocardial Injury

Published on: March 22, 2024

Related Experiment Videos

Last Updated: Apr 28, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

Author Spotlight: A Novel Standardized Technique for Real-Time Biomedical Imaging of Acute Myocardial Injury

Author Spotlight: A Novel Standardized Technique for Real-Time Biomedical Imaging of Acute Myocardial Injury

Published on: March 22, 2024

Area of Science:

Cardiology
Artificial Intelligence
Medical Diagnostics

Background:

Patients with Non-ST-Elevation Myocardial Infarction (NSTEMI) and totally occluded culprit vessels face elevated mortality risks.
Artificial intelligence (AI) offers potential for identifying high-risk NSTEMI subgroups.

Purpose of the Study:

To evaluate an AI model's efficacy in detecting total thrombotic coronary artery occlusion myocardial infarctions (OMIs) using a standard 12-lead ECG.
To compare AI model performance against established STEMI criteria for OMI identification.

Main Methods:

Retrospective analysis of 12-lead ECGs from patients with suspected OMI.
AI model assessment using angiographic confirmation of acute culprit coronary artery stenosis.

Main Results:

The AI model achieved 81% accuracy in identifying 142 angiographically confirmed OMIs.
For NSTEMI cases (66% accuracy), the AI model showed high sensitivity (66.2%) and specificity (93.4%).
For STEMI cases (97% accuracy), the AI model demonstrated high sensitivity (97.1%) and specificity (90.0%).

Conclusions:

The AI model surpasses STEMI criteria in accuracy, sensitivity, specificity, PPV, and NPV for OMI detection.
AI effectively identifies NSTEMI patients with total coronary artery occlusion, a high-risk group.