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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

3.2K
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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Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

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Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
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Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies01:22

Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies

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The key clinical manifestations of Rheumatic heart disease (RHD) include several distinct cardiac symptoms.Carditis, a hallmark of acute rheumatic fever, involves inflammation of the heart's endocardium, myocardium, and pericardium. Chronic RHD often results from recurrent episodes of carditis. Its symptoms include the following:Murmurs are caused by valvular damage, especially to the mitral and aortic valves. Mitral stenosis or regurgitation is common, with characteristic heart murmurs...
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Related Experiment Video

Updated: Sep 15, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

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Detecting structural heart disease from electrocardiograms using AI.

Timothy J Poterucha1, Linyuan Jing2, Ramon Pimentel Ricart1

  • 1Seymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.

Nature
|July 16, 2025
PubMed
Summary
This summary is machine-generated.

A new AI model, EchoNext, can detect many forms of structural heart disease using heart rhythm data. This deep learning tool shows high accuracy and potential for widespread, accessible heart disease screening.

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Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Early detection of structural heart disease is crucial for better patient outcomes.
  • Current screening methods like echocardiography are limited by cost and accessibility.
  • Previous AI models for heart disease detection were often trained on limited populations or specific conditions.

Purpose of the Study:

  • To introduce EchoNext, a deep learning model designed for broad structural heart disease detection.
  • To evaluate the diagnostic accuracy and generalizability of EchoNext.
  • To assess the potential of AI in expanding large-scale heart disease screening.

Main Methods:

  • Developed EchoNext, a deep learning model trained on over 1 million heart rhythm and imaging records.
  • Validated the model's performance internally and externally.
  • Conducted a prospective clinical trial on patients without prior cardiac imaging.
  • Compared EchoNext's performance against cardiologists in a controlled setting.

Main Results:

  • EchoNext demonstrated high diagnostic accuracy across diverse populations and care settings.
  • The model outperformed cardiologists in a controlled evaluation.
  • Prospective trial showed successful identification of previously undiagnosed heart disease.
  • Consistent performance was observed across different racial and/or ethnic groups.

Conclusions:

  • Deep learning models like EchoNext show significant potential for improving access to structural heart disease screening.
  • AI can help overcome limitations of traditional imaging tools in widespread screening.
  • Public release of model weights and data supports further research and transparency in AI for cardiovascular health.