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Naoharu Yagi

Showing results (41-50 of 49) with videos related to

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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 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.
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.
Heart and Vessels|November 22, 2021
Glasgow prognostic score can be a prognostic indicator after percutaneous coronary intervention: a two-center study in JapanRyota Noike, Hideo Amano, Shinya Suzuki, et al.
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Showing results (41-50 of 49) with videos related to

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Pageof 5
You have reached the last page of results.This site can display upto 49 results.
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 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.
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.
Heart and Vessels|November 22, 2021
Glasgow prognostic score can be a prognostic indicator after percutaneous coronary intervention: a two-center study in JapanRyota Noike, Hideo Amano, Shinya Suzuki, et al.
Pageof 5