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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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Acute Coronary Syndrome I: Introduction01:30

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Acute Coronary Syndrome (ACS) encompasses a spectrum of heart conditions caused by sudden obstruction of coronary arteries, typically resulting from the rupture of an atherosclerotic plaque and subsequent thrombus (blood clot) formation. This obstruction can lead to partial or complete blockage of blood flow, causing varying degrees of myocardial ischemia or infarction.ACS includes the following clinical entities:Unstable Angina (UA)Non-ST-Elevation Myocardial Infarction (NSTEMI)ST-Elevation...
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Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

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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...
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Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations01:19

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The pathophysiology of Acute Coronary Syndrome [ACD] involves several key processes:The main underlying cause of ACD is atherosclerosis, a chronic inflammatory disease characterized by the buildup of lipid-laden plaques within the coronary arteries.As the atherosclerotic plaque grows in the coronary artery, it may become unstable due to the formation of a lipid-rich core and a thin fibrous cap. Inflammatory cells within the plaque, such as macrophages, secrete enzymes that degrade the...
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Exercise Stress Test01:26

Exercise Stress Test

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Introduction
Exercise stress testing, commonly known as a treadmill test, is a noninvasive procedure used to evaluate cardiovascular function and diagnose heart conditions.
Definition
An exercise stress test measures the heart's response to exertion using a treadmill or stationary bicycle. Chest electrodes record the heart's electrical activity through an ECG, and blood pressure is monitored regularly.
Purposes
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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
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Related Experiment Video

Updated: Mar 23, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
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Performance of Artificial Intelligence-Powered ECG Analysis in Suspected ST-Segment Elevation Myocardial Infarction.

Scott W Sharkey1, Robert Herman2, Dawn R Witt1

  • 1Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA.

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|March 21, 2026
PubMed
Summary

This study shows a novel AI-ECG model accurately identifies acute coronary occlusion in suspected ST-segment elevation myocardial infarction (STEMI) patients, aiding in faster diagnosis and management.

Keywords:
ST-segment elevation myocardial infarctionacute coronary syndromeartificial intelligenceelectrocardiographypercutaneous coronary intervention

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Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Diagnostics

Background:

  • Artificial intelligence (AI)-based electrocardiogram (ECG) analysis is a developing tool for interpreting suspected ST-segment elevation myocardial infarction (STEMI).
  • Human interpretation of ECGs can be time-consuming and prone to error, necessitating advanced diagnostic aids.

Purpose of the Study:

  • To evaluate the performance of a novel AI-ECG model in identifying acute coronary occlusion.
  • To assess the model's accuracy in patients undergoing cardiac catheterization for suspected STEMI.

Main Methods:

  • A retrospective analysis of 2,523 patients from a multicenter U.S. STEMI registry (2018-2022).
  • Patients were categorized into acute myocardial infarction (AMI) with culprit, AMI without culprit, and no-AMI cohorts.
  • An AI-ECG model classified ECGs for acute coronary occlusion (OMI(+) or OMI(-)).

Main Results:

  • The AI-ECG model achieved 93.8% accuracy in identifying OMI(+) among patients with AMI and culprit.
  • Sensitivity for detecting coronary occlusion (TIMI flow 0/1) was 96.3%.
  • The model correctly identified 79.7% of no-AMI patients as OMI(-), with an AUCROC of 0.952.

Conclusions:

  • The AI-ECG model demonstrated high accuracy in identifying acute coronary obstruction in suspected STEMI cases.
  • The model also effectively identified patients without acute myocardial infarction.
  • Prospective validation could lead to improved patient management for suspected AMI.