Keitaro Senoo

Associated Professor

Kyoto Prefectural University of Medicine

Japan

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Keitaro Senoo is an Associate Professor at Kyoto Prefectural University of Medicine in Japan. His research primarily focuses on atrial fibrillation, utilizing innovative technologies such as AI and machine learning for patient monitoring and ECG assessments. Recent articles authored by Professor Senoo emphasize topics such as the clinical utility of smartwatch ECGs, at-home ECG monitoring, and the impact of serum uric acid levels on arrhythmias. He also explores the intersection of mental health and cardiovascular disease, highlighting sex differences in these relationships.

Articles (18)

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2025

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2025

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2020

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2020

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2020

Collaborators (2)

Mitsuko Nakata

Assistant Professor

Kyoto Prefectural University of Medicine

JAPAN

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Akira Okada

Project lecturer

University of Tokyo

JAPAN

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Keitaro Senoo

Research Interests

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About

Articles (18)

Advancing Atrial Fibrillation Screening—Clinical Utility and Future Directions of Smartwatch ECG

Daily home ECG monitoring for assessing the blanking period after catheter ablation in persistent atrial fibrillation

An Explainable AI Application (AF’fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Interview Study

Impact of physician interpretation of at-home ECG on clinically-detected AF

Sex Differences in the Relationship Between Schizophrenia and the Development of Cardiovascular Disease

Impact of longitudinal changes in serum uric acid levels and weight gain on new-onset atrial fibrillation—The Nishimura Health Survey: a retrospective cohort study

Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Survey of physicians' and patients' understanding, perceptions, and attitudes toward depressive state in atrial fibrillation

Comparison of maximum-sized visually guided laser balloon and cryoballoon ablation

The impact of home electrocardiograph measurement rate on the detection of atrial fibrillation recurrence after ablation: A prospective multicenter observational study

Importance of Monitoring Cardiac Arrhythmias Using 14-Day Patch Electrocardiography in Super Older Patients Who Underwent Transcatheter Aortic Valve Replacement

Depression and quality of life in older adults with atrial fibrillation: A cross‐sectional community‐based study

Screening for untreated atrial fibrillation in the elderly population: A community-based study

A Smartphone App to Improve Oral Anticoagulation Adherence in Patients With Atrial Fibrillation: Prospective Observational Study

Relationship Between Body Mass Index and Incidence of Atrial Fibrillation in Young Japanese Men　- The Nishimura Health Survey.

First episode of ventricular fibrillation in an 84-year-old man with long-QT type 2 syndrome: A case report.

Age-Specific Association Between Body Mass Index and the Incidence of Atrial Fibrillation in Japanese Men.

Knowledge, perception, and level of confidence regarding COVID-19 care among healthcare workers involved in cardiovascular medicine: a web-based cross-sectional survey in Japan.

Collaborators (2)

Mitsuko Nakata

Akira Okada

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Keitaro Senoo

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Advancing Atrial Fibrillation Screening—Clinical Utility and Future Directions of Smartwatch ECG

Daily home ECG monitoring for assessing the blanking period after catheter ablation in persistent atrial fibrillation

An Explainable AI Application (AF’fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Interview Study

Impact of physician interpretation of at-home ECG on clinically-detected AF

Sex Differences in the Relationship Between Schizophrenia and the Development of Cardiovascular Disease

Impact of longitudinal changes in serum uric acid levels and weight gain on new-onset atrial fibrillation—The Nishimura Health Survey: a retrospective cohort study

Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Survey of physicians' and patients' understanding, perceptions, and attitudes toward depressive state in atrial fibrillation

Comparison of maximum-sized visually guided laser balloon and cryoballoon ablation

The impact of home electrocardiograph measurement rate on the detection of atrial fibrillation recurrence after ablation: A prospective multicenter observational study

Importance of Monitoring Cardiac Arrhythmias Using 14-Day Patch Electrocardiography in Super Older Patients Who Underwent Transcatheter Aortic Valve Replacement

Depression and quality of life in older adults with atrial fibrillation: A cross‐sectional community‐based study

Screening for untreated atrial fibrillation in the elderly population: A community-based study

A Smartphone App to Improve Oral Anticoagulation Adherence in Patients With Atrial Fibrillation: Prospective Observational Study

Relationship Between Body Mass Index and Incidence of Atrial Fibrillation in Young Japanese Men - The Nishimura Health Survey.

First episode of ventricular fibrillation in an 84-year-old man with long-QT type 2 syndrome: A case report.

Age-Specific Association Between Body Mass Index and the Incidence of Atrial Fibrillation in Japanese Men.

Knowledge, perception, and level of confidence regarding COVID-19 care among healthcare workers involved in cardiovascular medicine: a web-based cross-sectional survey in Japan.

Collaborators (2)

Mitsuko Nakata

Akira Okada

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Relationship Between Body Mass Index and Incidence of Atrial Fibrillation in Young Japanese Men　- The Nishimura Health Survey.