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Artificial intelligence–enabled electrocardiography as a pre-treatment predictor of chemotherapy-related cardiac dysfunction

30 August 2026 (14:42 - 14:54)
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Congress Presentation Part of: Predicting and preventing cancer therapy–related cardiac dysfunction: from artificial intelligence to cardiometabolic protection Cardio-Oncology ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Min Sung Lee

Sejong General Hospital, Bucheon (Korea (Republic of))

4 More presentations in this session

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Clonal hematopoiesis of indeterminate potential (CHIP) is associated with increased risk of diastolic dysfunction in a cardio-oncology cohort
Mr J. Singh (US)
Abstract
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GLP-1 receptor agonists for anthracycline-associated cardiac outcomes: first meta-analytic evaluation in propensity-matched cohorts
Mr A. Chauhan (IN)
Abstract
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Healthcare utilization and costs in cancer therapy-related heart failure: a national inpatient sample analysis
Doctor L. Cruz (Santiago de los Caballeros, DO)
Abstract
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Stratification of cancer-therapy related cardiac dysfunction: a validated prediction tool to identify low risk patients.
Doctor J. Gonzalez Juanatey (Santiago de Compostela, ES)
Abstract

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Predicting and preventing cancer therapy–related cardiac dysfunction: from artificial intelligence to cardiometabolic protection

The Event

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ESC Congress 2026

30 August 2026 14:42 CET
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