Keiichi Satoh

Tokyo, Japan

Last Updated: 09/26/2026

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Found 10 publications

Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices.

Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices.

Journal: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
Published: June 18, 2025

Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leads.

Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leads.

Journal: Journal of cardiology
Published: December 14, 2024

Utility of convolutional neural network-enhanced electrocardiogram to diagnose and predict mitral regurgitation in patients with chronic atrial fibrillation.

Utility of convolutional neural network-enhanced electrocardiogram to diagnose and predict mitral regurgitation in patients with chronic atrial fibrillation.

Journal: Heart and vessels
Published: October 03, 2024

Social Life and Communication Skills of School-Age Children with Congenital Hearing Loss Who Received Cochlear Implants at an Advanced Age.

Social Life and Communication Skills of School-Age Children with Congenital Hearing Loss Who Received Cochlear Implants at an Advanced Age.

Journal: Audiology & neuro-otology
Published: May 23, 2024

Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural network.

Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural network.

Journal: International journal of cardiology. Heart & vasculature
Published: November 09, 2023

Lead-Specific Performance for Atrial Fibrillation Detection in Convolutional Neural Network Models Using Sinus Rhythm Electrocardiography.

Lead-Specific Performance for Atrial Fibrillation Detection in Convolutional Neural Network Models Using Sinus Rhythm Electrocardiography.

Journal: Circulation reports
Published: August 20, 2023

Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular setting.

Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular setting.

Journal: Heart and vessels
Published: June 22, 2023

Identification of patients with dilated phase of hypertrophic cardiomyopathy using a convolutional neural network applied to multiple, dual, and single lead electrocardiograms.

Identification of patients with dilated phase of hypertrophic cardiomyopathy using a convolutional neural network applied to multiple, dual, and single lead electrocardiograms.

Journal: International journal of cardiology. Heart & vasculature
Published: January 26, 2023

Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms.

Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms.

Journal: International journal of cardiology. Heart & vasculature
Published: October 03, 2022

Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithm.

Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithm.

Journal: International journal of cardiology. Heart & vasculature
Published: October 21, 2021
Showing 1-10 of 10

Last Updated: 09/26/2026