Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models

Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models

Introduction: The long-QT syndrome (LQTS) is the most common ion channelopathy, typically presenting with a prolonged QT interval and clinical symptoms such as syncope or sudden cardiac death. Patients may present with a concealed phenotype making the diagnosis challenging. Correctly diagnosing at-r...

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Bibliographic Details
Main Authors: Florian Doldi, Lucas Plagwitz, Lea Philine Hoffmann, Benjamin Rath, Gerrit Frommeyer, Florian Reinke, Patrick Leitz, Antonius Büscher, Fatih Güner, Tobias Brix, Felix Konrad Wegner, Kevin Willy, Yvonne Hanel, Sven Dittmann, Wilhelm Haverkamp, Eric Schulze-Bahr, Julian Varghese, Lars Eckardt
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Journal of Personalized Medicine
Subjects:
electrophysiology
long-QT syndrome
ECG
artificial intelligence
deep learning models
Online Access:https://www.mdpi.com/2075-4426/12/7/1135

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https://www.mdpi.com/2075-4426/12/7/1135

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