We have detected that you are using an Ad Blocker.
PracticeUpdate is free to end users but we rely on advertising to fund our site. Please consider supporting PracticeUpdate by whitelisting us in your ad blocker.
We have sent a message to the email address you have provided, . If this email is not correct, please update your settings with your correct address.
The email address you provided during registration, , does not appear to be valid. Please update your settings with a valid address before to continue using PracticeUpdate.
Please provide your AHPRA Number to ensure that you are given the correct level of access to our site.
Published in Cardiology

Journal Scan / Research · February 18, 2021

Use of AI and Deep Neural Networks to Evaluate Patients With Electrocardiographically Concealed LQTS

JAMA Cardiology


Additional Info

JAMA Cardiology
Use of Artificial Intelligence and Deep Neural Networks in Evaluation of Patients With Electrocardiographically Concealed Long QT Syndrome From the Surface 12-Lead Electrocardiogram
JAMA Cardiol 2021 Feb 10;[EPub Ahead of Print], JM Bos, ZI Attia, DE Albert, PA Noseworthy, PA Friedman, MJ Ackerman

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

Further Reading