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Takuya Umemoto

Showing results (91-100 of 104) with videos related to

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Cardiovascular Intervention and Therapeutics|October 15, 2013
Coronary artery revascularization before peripheral vascular surgery in patients with peripheral arterial diseaseHideki Miyachi, Jun Tanabe, Eitaro Kodani, et al.
International Journal of Cardiology. Heart & Vasculature|January 19, 2023
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiogramsNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.
Clinical Cardiology|December 17, 2008
Management of coronary artery disease in patients undergoing elective abdominal aortic aneurysm open repairYusuke Hosokawa, Hitoshi Takano, Asako Aoki, et al.
International Journal of Cardiology. Heart & Vasculature|January 21, 2022
Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithmShinya Suzuki, Jun Motogi, Hiroshi Nakai, et al.
Journal of Cardiopulmonary Rehabilitation and Prevention|February 23, 2017
Stretching Exercises Improve Vascular Endothelial Dysfunction Through Attenuation of Oxidative Stress in Chronic Heart Failure Patients With an Implantable Cardioverter DefibrillatorMichitaka Kato, Takashi Masuda, Michio Ogano, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|April 26, 2026
Prediction of Atrial Fibrillation Using Artificial Intelligence-Enhanced Electrocardiography　- Does Left Atrial Size Matter?Naomi Hirota, Shinya Suzuki, Jun Motogi, 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.
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.
Pageof 11

Showing results (91-100 of 104) with videos related to

Sort By:
Pageof 11
Cardiovascular Intervention and Therapeutics|October 15, 2013
Coronary artery revascularization before peripheral vascular surgery in patients with peripheral arterial diseaseHideki Miyachi, Jun Tanabe, Eitaro Kodani, et al.
International Journal of Cardiology. Heart & Vasculature|January 19, 2023
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiogramsNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.
Clinical Cardiology|December 17, 2008
Management of coronary artery disease in patients undergoing elective abdominal aortic aneurysm open repairYusuke Hosokawa, Hitoshi Takano, Asako Aoki, et al.
International Journal of Cardiology. Heart & Vasculature|January 21, 2022
Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithmShinya Suzuki, Jun Motogi, Hiroshi Nakai, et al.
Journal of Cardiopulmonary Rehabilitation and Prevention|February 23, 2017
Stretching Exercises Improve Vascular Endothelial Dysfunction Through Attenuation of Oxidative Stress in Chronic Heart Failure Patients With an Implantable Cardioverter DefibrillatorMichitaka Kato, Takashi Masuda, Michio Ogano, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|April 26, 2026
Prediction of Atrial Fibrillation Using Artificial Intelligence-Enhanced Electrocardiography　- Does Left Atrial Size Matter?Naomi Hirota, Shinya Suzuki, Jun Motogi, 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.
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.
Pageof 11