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Circulation Journal : Official Journal of the Japanese Circulation Society|June 23, 2017
Predictors of International Normalized Ratio Variability in Patients With Atrial Fibrillation Under Warfarin TherapyYoshimi Numao, Shinya Suzuki, Takuto Arita, et al.
Journal of Cardiology|May 8, 2014
Presentations and outcomes of patients with acute decompensated heart failure admitted in the winter seasonHidehiro Kaneko, Shinya Suzuki, Masato Goto, 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.
International Heart Journal|March 6, 2015
Incidence and predictors of rehospitalization of acute heart failure patientsHidehiro Kaneko, Shinya Suzuki, Masato Goto, et al.
Journal of Human Hypertension|February 1, 2020
Correction: Age-specific reference values for carotid arterial stiffness estimated by ultrasonic wall trackingTokuhisa Uejima, Frank D Dunstan, Eloisa Arbustini, et al.
Journal of Human Hypertension|August 23, 2019
Age-specific reference values for carotid arterial stiffness estimated by ultrasonic wall trackingTokuhisa Uejima, Frank D Dunstan, Eloisa Arbustini, 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.
Heart and Vessels|March 30, 2024
Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular settingNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.
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