River Jiang, Christopher C Cheung, Marta Garcia-Montero, Brianna Davies, Jason Cao, Damian Redfearn, Zachary M Laksman, Steffany Grondin, Joseph Atallah, Carolina A Escudero, Julia Cadrin-Tourigny, Shubhayan Sanatani, Christian Steinberg, Jacqueline Joza, Robert Avram, Rafik Tadros, Andrew D Krahn
IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, and sudden death. Half of patients with LQTS have a normal or borderline-normal QT interval despite LQTS often being detected by QT prolongation on resting electrocardiography (ECG). OBJECTIVE: To develop a deep learning-based neural network for identification of LQTS and differentiation of genotypes (LQTS1 and LQTS2) using 12-lead ECG. DESIGN, SETTING, AND PARTICIPANTS: This diagnostic accuracy study used ECGs from patients with suspected inherited arrhythmia enrolled in the Hearts in Rhythm Organization Registry (HiRO) from August 2012 to December 2021...
March 6, 2024: JAMA Cardiology