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Machine-learning algorithm utilizing serial high-sensitivity cardiac troponin I concentrations for ruling-out acute myocardial infarction

25 August 2018 (00:00 - 00:00)
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Congress Presentation Part of: Cardiac troponins: starting levels and outcomes Diagnostic Methods, Other ESC Premium Access ESC Congress 2018

About the speaker

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Associate Professor Yader Sandoval

Minneapolis Heart Institute Foundation, Minneapolis (United States of America)

9 More presentations in this session

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High-sensitivity cardiac troponin I and clinical risk scores in patients with suspected acute coronary syndrome
Doctor A. Chapman (Edinburgh, GB)
Abstract Slides Video
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Derivation and validation of a 0/1h-algorithm to diagnose myocardial infarction using cardiac myosin-binding protein c - direct comparison to hs-cTnI
Doctor T. Kaier (Cambridge, GB)
Abstract Slides Video
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Early Differentiation of Type 1 versus Type 2 Myocardial Infarction
Doctor T. Nestelberger (Basel, CH)
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Left-ventricular non-compaction: a multimodality imaging approach to trabeculation quantification allows refinement of diagnostic criteria
Doctor V. Donghi (Rozzano, IT)
Abstract Slides Video
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Prognostic value of a positive troponin across the age spectrum in over a quarter of a million patients (NHIC Troponin Study)
Doctor A. Kaura (London, GB)
Abstract Slides Video

Access the full session

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Cardiac troponins: starting levels and outcomes

The Event

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ESC Congress 2018

25 August - 29 August 2018

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources