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An interpretable machine learning model for predicting 1-year all-cause mortality in patients with non-ischaemic acute myocardial injury: development and external validation

31 August 2026 (09:15 - 10:00)
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Congress Presentation Part of: Non-atherosclerotic coronary abnormalities: machine learning and coronary artery Nonatherosclerotic Coronary Abnormalities ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Tianqi Yang

Tianjin Medical University General Hospital, Tianjin (China)

6 More presentations in this session

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Prognostic impact of coronary flow reserve in transthyretin cardiac amyloidosis independent of coronary calcium burden
Doctor C. Espinoza Romero (Sao Paulo, BR)
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Acetylcholine-induced vascular smooth muscle contraction and cholinergic synapse pathway variants in variant angina: an exome sequencing study
Assistant Professor S. Shibutani (Hirosaki, JP)
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Your heart speaks survey programme – a global survey on the lifestyle impact of ANOCA patients
Professor J. Beltrame (Adelaide, AU)
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Cardiovascular outcomes of adults diagnosed with anomalous aortic origin of the coronary arteries
Doctor U. Ofong (Houston, US)
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Multidomain lifestyle intervention in ANOCA: a sex-specific sub-analysis of the SAMCRO randomized controlled trial
Doctor S. Caglioni (Ferrara, IT)
Abstract

Access the full session

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Non-atherosclerotic coronary abnormalities: machine learning and coronary artery

The Event

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ESC Congress 2026

31 August 2026 09:15 CET
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