Professor Kenichi Nakajima

Professor Kenichi Nakajima

Kanazawa University Hospital, Kanazawa (Japan)

Department of Nuclear Medicine, Kanazawa University, Kanazawa, Japan Department of Functional Imaging and Artificial Intelligence, Kanazawa University, Kanazawa, Japan since 2019

Presentations Articles

Differential prediction of sudden cardiac death and heart failure death using machine learning and nuclear cardiology.

Event: ESC Congress 2021 - The Digital Experience

Topic: Ventricular Arrhythmias and Sudden Cardiac Death (SCD)

Session: Prediction of sudden cardiac death: genetic testing, ECG, and imaging

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Machine learning: can we predict and prevent sudden cardiac death in heart failure?

Event: ESC Congress 2021 - The Digital Experience

Topic: e-Cardiology/Digital Health

Session: Sudden cardiac death: can we move from prediction to prevention?

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Creation of mortality risk calculator using a I-123 mIBG-based machine learning model: differential prediction of arrhythmic death and heart-failure death

Event: ICNC-CT 2021

Topic: Inflammation, Infection, and Infiltrative Cardiovascular Disorders

Session: Artificial Intelligence

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Machine learning model for predicting sudden cardiac death and heart failure death using 123I-metaiodobenzylguanidine

Event: ICNC 2019

Topic: Single Photon Emission Computed Tomography (SPECT)

Session: Moderated Posters 4

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Professor Kenichi Nakajima

Biography

Contributor content

Differential prediction of sudden cardiac death and heart failure death using machine learning and nuclear cardiology.

Machine learning: can we predict and prevent sudden cardiac death in heart failure?

Creation of mortality risk calculator using a I-123 mIBG-based machine learning model: differential prediction of arrhythmic death and heart-failure death

Machine learning model for predicting sudden cardiac death and heart failure death using 123I-metaiodobenzylguanidine

ESC 365 is supported by

Professor Kenichi Nakajima Follow

Biography

Contributor content

Differential prediction of sudden cardiac death and heart failure death using machine learning and nuclear cardiology.

Machine learning: can we predict and prevent sudden cardiac death in heart failure?

Creation of mortality risk calculator using a I-123 mIBG-based machine learning model: differential prediction of arrhythmic death and heart-failure death

Machine learning model for predicting sudden cardiac death and heart failure death using 123I-metaiodobenzylguanidine

ESC 365 is supported by

Professor Kenichi Nakajima