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Artificial intelligence for automated baseline cardiovascular condition identification: accuracy, confidence, and discordance

29 August 2026 (16:15 - 17:00)
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Congress Presentation Part of: Data-driven cardiovascular medicine: from population health to clinical decision support Large Language Model ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Rahul Aggarwal

Brigham and Women's Hospital, Harvard Medical School, Boston (United States of America)

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GENZ-AF-IBD study design: a hybrid phase 4 clinical equivalence trial using AI-based synthetic control arms to compare generic apixaban with the originator in patients with atrial fibrillation
Doctor M. Narducci (Rome, IT)
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Effects of short-term exposures to air temperature and temperature variability on blood pressure and heart rate in the German National Cohort
Doctor I. Moreno Velasquez (Berlin, DE)
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Mobilizing core and country-tailored implementation strategies to accelerate Lipoprotein(a) testing across Europe: findings from the Lp(a)CCELERATE contextual analysis
Doctor J. Brandts (Frankfurt, DE)
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Association of smartphone ownership with health literacy, lifestyle behaviors, and cardiovascular outcomes among cardiology outpatients
Doctor M. Saito (Ozu, JP)
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Data-driven cardiovascular medicine: from population health to clinical decision support

The Event

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ESC Congress 2026

29 August 2026 16:15 CET
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