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Fully automated deep learning echocardiographic strain model for vessel‑specific detection of coronary occlusion

30 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Next-generation acute coronary syndromes: artificial intelligence, biomarkers, and precision risk prediction Noninvasive Imaging ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Lasse van Drunen

Norwegian University of Science and Technology, Trondheim (Norway)

6 More presentations in this session

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The adrenomedullin system predicts cardiogenic shock in acute coronary syndromes
Miss Y. Wang (Zurich, CH)
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Prospective assessment of coronary microvascular function using continuous thermodilution among patients with acute coronary syndrome: early observations from the microSTREAM ACS study
Doctor A. Babu (Perth, AU)
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Adiponectin predicts MACE in older patients with an acute coronary event and augments endothelial tissue factor activity in senescent cells
Doctor A. Tirandi (Schlieren, CH)
Abstract Slides Video
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Expanding the modified GRACE risk score to high-sensitivity troponin i: a multinational validation cohort study
Doctor D. Delialis (Athens, GR)
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Biological mechanisms underlying the cardiovascular effects of branch-chain amino acids: a proteome-wide mendelian randomisation study
Doctor J. Zhao (Hong Kong, HK)
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Next-generation acute coronary syndromes: artificial intelligence, biomarkers, and precision risk prediction

The Event

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ESC Congress 2026

30 August 2026 08:15 CET
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