Showing results (11-20 of 21) with videos related to
Sort By:
Pageof 3
BMC Cardiovascular Disorders|February 11, 2021
Relationship between resting 12-lead electrocardiogram and all-cause death in patients without structural heart disease: Shinken Database analysisNaomi Hirota, Shinya Suzuki, Takuto Arita, et al.Heart and Vessels|June 5, 2021
Left atrial dimension and ischemic stroke in patients with and without atrial fibrillationNaomi Hirota, Shinya Suzuki, Takuto Arita, et al.International Heart Journal|May 15, 2024
Descriptions of Etiology, Clinical Course, and Prognosis of Patients Presenting with Pericardial EffusionKoichiro Hori, Yuko Kato, Shinya Suzuki, et al.Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc|February 9, 2026
Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and DevicesShinya Suzuki, Mari Amino, Nobumoto Moriai, et al.International Journal of Cardiology|May 21, 2026
Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular eventsMotohiro Arai, Shinya Suzuki, Naomi Hirota, et al.Journal of Cardiology|May 30, 2025
Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leadsKoichiro Hori, Shinya Suzuki, Naomi Hirota, et al.International Journal of Cardiology. Heart & Vasculature|March 29, 2024
Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural networkTakuto Arita, Shinya Suzuki, Jun Motogi, et al.Heart and Vessels|May 15, 2025
Utility of convolutional neural network-enhanced electrocardiogram to diagnose and predict mitral regurgitation in patients with chronic atrial fibrillationMayu Sakuma, Shinya Suzuki, Naomi Hirota, et al.Circulation Reports|March 11, 2024
Lead-Specific Performance for Atrial Fibrillation Detection in Convolutional Neural Network Models Using Sinus Rhythm ElectrocardiographyShinya Suzuki, Jun Motogi, Takuya Umemoto, et al.International Journal of Cardiology. Heart & Vasculature|May 8, 2023
Identification of patients with dilated phase of hypertrophic cardiomyopathy using a convolutional neural network applied to multiple, dual, and single lead electrocardiogramsNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.Pageof 3