New article! Read Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices in npj Digital Med https://t.co/yEXFM18h7c
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices.
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Dec 2022 – Oct 2023Where it's discussed
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What people are saying
Discussions emphasize optimism about the article’s findings, with comments such as 'game changer' and notes about improved accuracy in noisy signals. The tone and context reflect excitement about advancing wearable health tech, while references to model performance metrics and potential clinical benefits showcase thoughtful engagement and recognition of the research’s broader significance.
Most discussions express strong support, highlighting the innovative nature and promising results of the AI detection method.
The discussions demonstrate high curiosity and enthusiasm about the technology and its applications.
Participants delve into details like model performance and real-world implications, showing active engagement.
There is a general consensus that this research could significantly influence remote and wearable cardiovascular monitoring.
Abstract in brief
- Artificial intelligence can effectively identify left ventricular systolic dysfunction (LVSD) using electrocardiograms (ECGs), even with the challenges posed by noisy signals from wearable devices.*
- A new approach was developed that enhances AI models to better detect cardiovascular diseases by training them with augmented noisy ECG data that mimics real-world conditions.*
- The noise-adapted AI model outperformed the standard model on ECGs affected by device noise, achieving better accuracy (AUROC of 0.87 vs. 0.72), showcasing its potential for improving remote cardiovascular monitoring.*
Top posts
Most liked on X and BlueskyDetection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices https://t.co/NM8eYCHIcH #medRxiv
RT @medrxivpreprint: Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices…
RT @npjDigitalMed: New article! Read Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for po…
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices | npj Digital Medicine https://t.co/Ycg3hbTsxG
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. (NPJ Digit Med)
All mentions
AI Detection of Left Ventricular Dysfunction Using Wearable ECGs
Artificial intelligence can effectively identify left ventricular systolic dysfunction (LVSD) using ECGs, even with noisy signals from wearable devices. This noise-adapted AI model improves remote cardiovascular…
Date of Publication: 2023 Jul 11 https://t.co/FkKUasDlUr #Medicaid
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. (NPJ Digit Med)
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices | npj Digital Medicine https://t.co/Ycg3hbTsxG
RT @npjDigitalMed: New article! Read Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for po…
New article! Read Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices in npj Digital Med https://t.co/yEXFM18h7c
RT @medrxivpreprint: Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices…
Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices https://t.co/NM8eYCHIcH #medRxiv