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Naomi Hirota

Observed names: Hirota, Naomi, N Hirota, Naomi HIROTA
Observed institution: Cardiovascular Institute Hospital
ORCID: 0000-0003-1184-4228
Observed ORCID: 0000-0003-1184-4228
OpenAlex ID: A5059794100
Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease
2021 · Naomi Hirota, Shinya Suzuki, et al. · BMC Geriatrics · 36
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Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms
2023 · Naomi Hirota, Shinya Suzuki, et al. · IJC Heart & Vasculature · 23
Prediction of current and new development of atrial fibrillation on electrocardiogram with sinus rhythm in patients without structural heart disease
2020 · Naomi Hirota, Shinya Suzuki, et al. · International Journal of Cardiology · 17
Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular setting
2024 · Naomi Hirota, Shinya Suzuki, et al. · Heart and Vessels · 12
Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural network
2024 · Takuto Arita, Shinya Suzuki, et al. · IJC Heart & Vasculature · 12
Identification of patients with dilated phase of hypertrophic cardiomyopathy using a convolutional neural network applied to multiple, dual, and single lead electrocardiograms
2023 · Naomi Hirota, Shinya Suzuki, et al. · IJC Heart & Vasculature · 12
Left atrial dimension and ischemic stroke in patients with and without atrial fibrillation
2021 · Naomi Hirota, Shinya Suzuki, et al. · Heart and Vessels · 12
Association between ventricular arrhythmia (premature ventricular contractions burden and nonsustained ventricular tachycardia) and cardiovascular events in patients without structural heart disease
2024 · Sho Ogiso, Takuto Arita, et al. · Journal of Arrhythmia · 10
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Lead-Specific Performance for Atrial Fibrillation Detection in Convolutional Neural Network Models Using Sinus Rhythm Electrocardiography
2024 · Shinya Suzuki, Jun Motogi, et al. · Circulation Reports · 10
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Descriptions of Etiology, Clinical Course, and Prognosis of Patients Presenting with Pericardial Effusion
2024 · Koichiro Hori, Yuko Kato, et al. · International Heart Journal · 5
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Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leads
2025 · Koichiro Hori, Shinya Suzuki, et al. · Journal of Cardiology · 4
Artificial Intelligence‐Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices
2026 · Shinya Suzuki, Mari Amino, et al. · Annals of Noninvasive Electrocardiology · 3
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Utility of convolutional neural network-enhanced electrocardiogram to diagnose and predict mitral regurgitation in patients with chronic atrial fibrillation
2025 · Mayu Sakuma, Shinya Suzuki, et al. · Heart and Vessels · 3
Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages
2025 · Naomi Hirota, Shinya Suzuki, et al. · Journal of Arrhythmia · 3
Relationship between resting 12-lead electrocardiogram and all-cause death in patients without structural heart disease: Shinken Database analysis
2021 · Naomi Hirota, Shinya Suzuki, et al. · BMC Cardiovascular Disorders · 3
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Analysis of bioMARKer Distribution and Individual Reproducibility Under Rivaroxaban Treatment in Japanese Patients with Non-Valvular Atrial Fibrillation (R-MARK Study, CVI ARO2)
2020 · Naomi Hirota, Shinya Suzuki, et al. · International Heart Journal · 3
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Prediction of Atrial Fibrillation Using Artificial Intelligence-Enhanced Electrocardiography ― Does Left Atrial Size Matter? ―
2026 · Naomi Hirota, Shinya Suzuki, et al. · Circulation Journal · 2
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Impact of a history of falls on clinical outcomes in older adult non-valvular atrial fibrillation patients: an ANAFIE registry study
2026 · Takuto Arita, Shinya Suzuki, et al. · BMC Geriatrics · 2
Prediction of recurrence after catheter ablation for atrial fibrillation using left atrial morphology on preprocedural computed tomography: application of radiomics
2022 · N Hirota, S Suzuki, et al. · European Heart Journal · 2
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Prediction of persistent form of atrial fibrillation using left atrial morphology on preprocedural computed tomography: application of radiomics
2022 · N Yagi, S Suzuki, et al. · European Heart Journal · 1
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Prediction of atrial fibrillation by 12-lead electrocardiogram parameters in patients without structural heart disease
2020 · N Hirota, S Suzuki, et al. · European Heart Journal · 1
Difference of Precision in Atrial Fibrillation Prediction by Convolutional Neural Network Model Using Sinus Rhythm Electrocardiogram According to Risk Profiles
2026 · Naomi Hirota, Shinya Suzuki, et al. · Circulation Reports
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Ankle–brachial index and brachial–ankle pulse wave velocity as markers of severe aortic regurgitation: a hospital-based cohort study
2026 · Ran Sumida, Yuko Kato, et al. · Hypertension Research
Corrigendum to "Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular events" [International Journal of Cardiology 458 (2026) 134576]
2026 · Motohiro Arai, Shinya Suzuki, et al. · International Journal of Cardiology
Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular events
2026 · Motohiro Arai, Shinya Suzuki, et al. · International Journal of Cardiology
Works count: 35
Citation count: 176
H-index: 9
I10-index: 9
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