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Related Concept Videos

Disturbances in Heart Rhythm01:28

Disturbances in Heart Rhythm

932
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
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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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Related Experiment Video

Updated: Jun 21, 2025

Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
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ChatGPT for Patients: A Comprehensive Study on Atrial Fibrillation Awareness.

Rahul Vyas1, Arpita Pawa2, Chanza Shaikh1

  • 1Department of Internal Medicine, LSU, Shreveport, LA, USA.

The Journal of Innovations in Cardiac Rhythm Management
|July 16, 2024
PubMed
Summary

Artificial intelligence (AI) chatbots like ChatGPT show promise in providing atrial fibrillation (AF) information. Expert physicians rated AI responses highly, suggesting AI

Keywords:
Artificial intelligenceChatGPTatrial fibrillation

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Cardiology

Background:

  • Atrial fibrillation (AF) diagnosis presents complex challenges and patient inquiries.
  • The integration of artificial intelligence (AI) into medical information retrieval is rapidly evolving.

Purpose of the Study:

  • To evaluate the quality of AI-generated responses to medical queries regarding atrial fibrillation (AF).
  • To assess expert physician perceptions of AI's utility as an informational resource in cardiology.

Main Methods:

  • A 20-question survey on AF was administered to 30 experienced physicians (22 cardiologists, 8 hospitalists).
  • Questions covered general concerns, diagnosis, treatment, and post-diagnosis inquiries related to AF.
  • AI-generated responses from ChatGPT (OpenAI) were evaluated by physicians using a rating scale.

Main Results:

  • Over 50% of expert evaluations rated AI responses as "excellent" or "very good".
  • "Excellent" responses were the most frequent category (29.50%), followed by "very good" (26%).
  • Physician ratings indicated AI responses were comparable to clinician-provided information.

Conclusions:

  • ChatGPT demonstrates significant efficacy as an informational resource for atrial fibrillation (AF).
  • AI shows potential for improving clinical response methodology, though ethical considerations and update frequency require attention.
  • The study underscores AI's expanding role in facilitating access to healthcare information.