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Deep learning to predict long-term mortality from plain chest radiographs in patients referred for suspected angina

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About the speaker

Doctor Mauro Massussi

University of Brescia, Brescia (Italy)
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The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes

Speaker: Doctor L. Carvalho (Brasilia, BR)

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Derivation and external validation of machine-learning- models for risk stratification in chest pain with normal troponin

Speaker: Doctor P. Lopez Ayala (Basel, CH)

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External validation of the myocardial-ischemic-injury-index: a machine learning algorithm for the early diagnosis of myocardial infarction

Speaker: Doctor P. Lopez Ayala (Basel, CH)

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Machine learning versus guideline recommended pathways for the diagnosis of myocardial infarction

Speaker: Doctor J. Boeddinghaus (Basel & Edinburgh, CH)

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Machine learning for in-hospital cardiac events prediction in patients with acute coronary syndrome: results from ADDICT-ICCU study

Speaker: Doctor E. Gall (Paris, FR)

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Access the full session

Machine learning to improve care of acute coronary syndromes

Speakers: Doctor M. Massussi, Doctor L. Carvalho, Doctor P. Lopez Ayala, Doctor P. Lopez Ayala, Doctor J. Boeddinghaus...
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ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

ESC 365 is supported by

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