This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
milla1cf Wed, 12/13/2023 - 10:24 December 13, 2023 — A new artificial intelligence (AI) model designed by Scripps Research scientists could help clinicians better screen patients for atrial fibrillation (or AFib)—an irregular, fast heartbeat that is associated with stroke and heart failure.
In a world where technology reigns supreme, one of the most profound tools in medicine remains the irreplaceable electrocardiogram (ECG). As technology advances, so too does our ability to capture the heart’s rhythm with greater precision. AFIB/AFL – atrial fibrillation or atrial flutter episodes.
AFib Facts and Impacts Atrial fibrillation is the most common cardiac arrhythmia, affecting 2% of individuals worldwide. Before the procedure, patients should have an electrocardiogram (ECG) and echocardiogram (ultrasound of the heart) to check the heart’s rhythm and function. The risk of death is extremely low (0.05-0.1%).
Signify Research has just released a deep-dive qualitative analysis of developments around the use of AI to analyze and interpret electrocardiograms (ECGs), one of the world’s most ubiquitous diagnostic tests for cardiac disease. By 1909 ECGs were being used to diagnose cases of arrhythmia; by 1910 to diagnose indicators of a heart attack.
We organize all of the trending information in your field so you don't have to. Join thousands of users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content