Curr Cardiol Rep June 2024 PMID 38753291

Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review.

Benjamin Ose, Zeeshan Sattar, Amulya Gupta, Christian Toquica, Chris Harvey, Amit Noheria

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Mentions

4
Peak: 2 in May 2024
across 2 sources since May 2024

Extended reach

550
potential audience

Total likes

5

Video views

95

Mentions per month

May 2024 – Feb 2025

Where it's discussed

  • X / Twitter3 posts
  • YouTube1 videos

AI synopsis

What people are saying

The discussions emphasize the significance of AI in ECG interpretation, with phrases like 'AI Revolution for Heart Disease Diagnosis' and calling the review a 'tour-de-force,' indicating both endorsement and recognition of its importance. The tone reflects enthusiasm for technological advancements and contributions to medical knowledge, fostering awareness and professional engagement.

AgreementModerate agreement

The positive comment about the review being a 'tour-de-force' indicates strong agreement with its quality and importance.

InterestModerate interest

Mentions of AI revolutionizing heart disease diagnosis and references to detailed reviews suggest a moderate level of interest.

EngagementModerate engagement

Sharing an informative PDF and praising the review reflects active engagement through dissemination and support.

ImpactModerate impact

Highlighting AI's role in diagnosing heart disease and the review's authoritative nature suggests a noteworthy impact on the field.

Abstract in brief

  • Artificial Intelligence (AI) is revolutionizing ECG interpretation by enabling automated, highly accurate analysis across various devices, including standard, portable, and implantable systems.
  • AI models have been developed to classify heart rhythms, detect structural heart diseases like hypertrophic cardiomyopathy, and predict future cardiac events such as heart failure and atrial fibrillation, with some gaining FDA approval or breakthrough device status.
  • While promising, the widespread clinical use of AI in ECG interpretation requires careful implementation to avoid information overload and false positives, along with further research to validate improvements in healthcare efficiency and patient outcomes.

Top posts

Most liked on X and Bluesky
Amit Noheria
@AmitNoheria · X

https://t.co/Qx8FXv9Hwe - this is a link to a read-only PDF https://t.co/6HisW7HrH7

May 21, 2024 · 2 likes · 226 followers View post →
Amit Noheria
@AmitNoheria · X

Our review on AI-ECG in Curr Cardiol Rep: A tour-de-force by my trainees, couldn't be more proud. @KUCVM @KUHospital https://t.co/s2ut2WHpBf https://t.co/JmiokAgnic #EPeeps #KU_PARC

May 21, 2024 · 1 like · 1 share · 226 followers View post →

All mentions

Tom Li
@TomLi1425709 · X

AI Revolution for Heart Disease Diagnosis https://t.co/UnWez5yzuY via @YouTube

Feb 8, 2025 · 2 followers View post →
Amit Noheria
@AmitNoheria · X

https://t.co/Qx8FXv9Hwe - this is a link to a read-only PDF https://t.co/6HisW7HrH7

May 21, 2024 · 2 likes · 226 followers View post →
Amit Noheria
@AmitNoheria · X

Our review on AI-ECG in Curr Cardiol Rep: A tour-de-force by my trainees, couldn't be more proud. @KUCVM @KUHospital https://t.co/s2ut2WHpBf https://t.co/JmiokAgnic #EPeeps #KU_PARC

May 21, 2024 · 1 like · 1 share · 226 followers View post →