Prediction of plaque vulnerability and clinical outcome by a deep learning-based algorithm for optical coherence tomography imaging in coronary artery disease

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Prediction of plaque vulnerability and clinical outcome by a deep learning-based algorithm for optical coherence tomography imaging in coronary artery disease

Session: Latest Basic & Translational Science

Topic: Epidemiology, Prognosis, Outcome

Speaker: Professor S. Uemura (Kurashiki, JP)

Event: ESC Congress 2021 - The Digital Experience

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About the speaker

Professor Shiro Uemura

Kawasaki Medical School, Kurashiki (Japan)

2 presentations

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Latest Basic & Translational Science

Speakers: Professor S. Uemura, Professor G. Pasterkamp, Doctor P. Girault-Sotias, Assistant Professor C. Schinner, Professor J. Schwitter...

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ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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