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Related Concept Videos

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Coronary Artery Disease V: Interprofessional Care01:27

Coronary Artery Disease V: Interprofessional Care

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Interprofessional care for coronary artery disease includes pharmacological therapy and revascularization procedures.Pharmacological therapy for Coronary Artery Disease (CAD) aims to manage symptoms, prevent complications, and improve patient outcomes through various classes of medications:Antiplatelet Agents:Aspirin and Clopidogrel: These medications inhibit platelet aggregation, preventing blood clots, which is crucial for avoiding heart attacks and strokes. Doctors often prescribe these...
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Cardiac Catheterization I: Pre-Procedure Overview01:28

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Cardiac catheterization is an invasive diagnostic technique used to identify and evaluate structural and functional diseases of the heart and major blood vessels. This technique diagnoses congenital heart disease, coronary artery disease, valvular heart disease, and coronary spasms and assesses ventricular function. It helps guide treatment decisions, including the need for revascularization procedures like percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) and...
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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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Related Experiment Video

Updated: Jan 13, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Cardiologist user experience of artificial intelligence-based quantitative coronary angiography.

Ohchul Kwon1, Hyuck-Jun Yoon2, Jung-Hee Lee3

  • 1Cardiovascular Center, Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.

Cardiovascular Diagnosis and Therapy
|January 9, 2026
PubMed
Summary

Artificial intelligence-assisted quantitative coronary angiography (AI-QCA) offers an automated, objective assessment of coronary artery stenosis. Cardiologists found AI-QCA feasible and helpful in the cath lab, with acceptable user experience and minimal time investment.

Keywords:
Artificial intelligence-assisted quantitative coronary angiography (AI-QCA)coronary angiography (CAG)coronary artery diseasepercutaneous coronary intervention (PCI)

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Artificial intelligence-assisted quantitative coronary angiography (AI-QCA) automates coronary artery stenosis assessment.
  • Previous studies confirmed AI-QCA accuracy against manual QCA and intravascular ultrasound.

Purpose of the Study:

  • To evaluate cardiologists' experience analyzing coronary lesions using AI-QCA.
  • To assess the feasibility and user experience of AI-QCA in a clinical setting.

Main Methods:

  • Ten interventional cardiologists analyzed 180 patient angiograms using AI-QCA.
  • Correlations between manual QCA and AI-QCA measurements were assessed.
  • User experience was evaluated using the System Usability Scale (SUS).

Main Results:

  • AI-QCA demonstrated marginal high acceptability (average SUS score 66.7).
  • AI-QCA analysis time was significantly lower (1.5±0.9 s) compared to manual QCA (88.1±35.5 s).
  • Key angiographic variables showed moderate-to-strong correlations between AI-QCA and manual QCA (e.g., RD R=0.74).

Conclusions:

  • AI-QCA offers an acceptable user experience with minimal human intervention and time.
  • AI-QCA is feasible and potentially beneficial for coronary angiography and intervention in the cath lab.