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The AI footprint in cardiology: rapid rise of large language models-associated vocabulary in ESC congress abstracts (2019–2025)

28 August 2026 (12:15 - 13:00)
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Congress Presentation Part of: Digital tools in practice: transforming clinical care Large Language Model ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Francisco Buendia Santiago

General University Hospital Santa Lucia, Cartagena (Spain)

6 More presentations in this session

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Effects of an AI-powered eHealth intervention on physical capacity and self-management in coronary artery disease: the TIMELY multicenter RCT
Professor B. Schmitz (Ennepetal, DE)
Abstract Slides
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Synthetic ECG-guided temporal gating improves paediatric murmur grading, timing, and shape classification on the CirCor DigiScope dataset
Mr Z. Ahmad (Islamabad, PK)
Abstract Slides
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Enhancing cardiovascular consultation training with a multi-agent virtual patient framework: a multi-model comparative evaluation study
Associate Professor X. Xu (Beijing, CN)
Abstract Slides
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Natural language processing and geospatial analysis of 50,847 individuals to identify ethnicities and neighbourhoods with high risk of acute valvular decompensations
Doctor A. Joshi (London, GB)
Abstract Slides
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Use of digital health services among patients with hypertension: a cross-sectional analysis of 1,751 insured adults in northeastern Germany
Ms D. Bruch (Bernau bei Berlin, DE)
Abstract Slides

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Digital tools in practice: transforming clinical care

The Event

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ESC Congress 2026

28 August 2026 12:15 CET
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