Doctor Masato Shimizu

Prognostic value of machine learning for acute heart failure

Event: ESC Asia with APSC & AFC 2021

Topic: Diagnostic Methods

Session: ePosters

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Diagnostic performance of deep learning on 12-leads electrocardiography for recurrence after pulmonary vein isolation in patients with persistent atrial fibrillation

Event: ESC Congress 2021 - The Digital Experience

Topic: Diagnostic Methods

Session: Atrial fibrillation e-posters

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Prediction for cardiac prognosis in patients with congestive heart failure by machine learning on dual-isotope myocardial semiconductor SPECT

Event: ESC CONGRESS 2020 - The Digital Experience

Topic: Single Photon Emission Computed Tomography (SPECT)

Session: The 3I Role of Metabolic Imaging: Ischemia, Infection and Inflammation

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Differences of ST level at J-point on 12-lead electrocardiography can distinguish takotsubo syndrome and acute anterior myocardial infarction

Event: ESC CONGRESS 2020 - The Digital Experience

Topic: Takotsubo Cardiomyopathy

Session: Myocardial Disease ePosters

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Diagnostic performance of 18-leads electrocardiography to distinguish takotsubo syndrome and acute anterior myocardial infarction

Event: ESC CONGRESS 2020 - The Digital Experience

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Session: e-Cardiology / Digital Health ePosters

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Simple 12-leads electrocardiography can predict cardiac death in patients with complete left bundle branch block

Event: ESC CONGRESS 2019

Topic: Electrocardiography (ECG)

Session: Risk stratification in arrhythmia

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T-wave amplitude in aVR for left ventricular dyssynchrony in patients with complete left bundle branch block

Event: ESC Congress 2018

Topic: Diagnostic Methods, Other

Session: Chronic heart failure – Diagnostic methods

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Prognostic value of T wave axis deviation for left ventricular dysfunction in patients with complete left bundle branch block

Event: ESC CONGRESS 2017

Topic: Ventricular function / haemodynamics

Session: Chronic heart failure (CHF)

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Diagnostic performance of T-axis deviation on 12-leads electrocardiography for myocardial ischemia: Analysis by semiconductor SPECT

Event: ESC CONGRESS 2017

Topic: Angina pectoris stable

Session: Stable CAD

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Diagnostic value of fragmented QRS localization for myocardial ischemia and left ventricular dyssynchrony: analysis by quantitative gated semiconductor SPECT

Event: ESC CONGRESS 2016

Topic: Scintigraphy (SPECT)

Session: Cardiac nuclear imaging

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Doctor Masato Shimizu

Contributor content

Prognostic value of machine learning for acute heart failure

Diagnostic performance of deep learning on 12-leads electrocardiography for recurrence after pulmonary vein isolation in patients with persistent atrial fibrillation

Prediction for cardiac prognosis in patients with congestive heart failure by machine learning on dual-isotope myocardial semiconductor SPECT

Differences of ST level at J-point on 12-lead electrocardiography can distinguish takotsubo syndrome and acute anterior myocardial infarction

Diagnostic performance of 18-leads electrocardiography to distinguish takotsubo syndrome and acute anterior myocardial infarction

Simple 12-leads electrocardiography can predict cardiac death in patients with complete left bundle branch block

T-wave amplitude in aVR for left ventricular dyssynchrony in patients with complete left bundle branch block

Prognostic value of T wave axis deviation for left ventricular dysfunction in patients with complete left bundle branch block

Diagnostic performance of T-axis deviation on 12-leads electrocardiography for myocardial ischemia: Analysis by semiconductor SPECT

Diagnostic value of fragmented QRS localization for myocardial ischemia and left ventricular dyssynchrony: analysis by quantitative gated semiconductor SPECT

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