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Machine learning for predicting fractional flow reserve based on optical coherence tomography in intermediate coronary stenosis

30 August 2020 (08:30 - 08:30)
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Congress Presentation Part of: Novel Findings and Applications of Intracoronary Imaging Fractional Flow Reserve (FFR) ESC Premium Access ESC Congress 2020

About the speaker

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Doctor Jung-Joon Cha

Korea University Anam Hospital, Seoul (Korea (Republic of))

5 More presentations in this session

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Association between pre-infarction angina and culprit-lesion morphology in patients with ST-segment elevation myocardial infarction: an optical coherence tomography study
Doctor Y. Wang (Beijing, CN)
Abstract Slides
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Predictors of rapid plaque progression: an optical coherence tomography study
Doctor M. Araki (Boston, US)
Abstract Slides
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Optical coherence tomography findings in healed vulnerable plaques in patients with coronary artery disease.
Doctor S. Kimura (Tokyo, JP)
Abstract Slides
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Optical coherence tomography and coronary angioscopy assessment of healed vulnerable plaque components in patients with coronary artery lesions undergoing elective percutaneous coronary intervention.
Doctor S. Kimura (Tokyo, JP)
Abstract Slides
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Optical ultrasound (OpUS): a novel concept for intravascular imaging
Doctor C. Little (London, GB)
Abstract Slides

Access the full session

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Novel Findings and Applications of Intracoronary Imaging

The Event

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ESC Congress 2020

30 August 2020 08:30 CET
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novartis Explore sponsored resources
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