Artificial intelligence-enabled 8-lead ECG detection of atrial septal defect among adults: a novel diagnostic tool
BackgroundPatients with atrial septal defect (ASD) exhibit distinctive electrocardiogram (ECG) patterns. However, ASD cannot be diagnosed solely based on these differences. Artificial intelligence (AI) has been widely used for specifically diagnosing cardiovascular diseases other than arrhythmia. Ou...
Main Authors: | Qiushi Luo, Hongling Zhu, Jiabing Zhu, Yi Li, Yang Yu, Lei Lei, Fan Lin, Minghe Zhou, Longyan Cui, Tao Zhu, Xuefei Li, Huakun Zuo, Xiaoyun Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-11-01
|
Series: | Frontiers in Cardiovascular Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1279324/full |
Similar Items
-
Impact of right ventricular size on ECG after percutaneous closure of atrial septal defect with Amplatzer Septal Occluder
by: M Fasnacht, et al.
Published: (2005-11-01) -
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization
by: Felipe Meneguitti Dias, et al.
Published: (2023-01-01) -
Left Atrial Stiffness Increases after Trans-Catheter Atrial Septal Closure
by: Shuhei Tanaka, et al.
Published: (2024-01-01) -
Identification and Morphogenesis of Vestibular Atrial Septal Defects
by: Rohit S. Loomba, et al.
Published: (2020-09-01) -
Transcatheter closure of atrial septal defect with atrial septal occluder in a patient with nickel allergy
by: Hasan Arı, et al.
Published: (2017-06-01)