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Large language model-assisted case finding for hypertrophic cardiomyopathy: identifying patients eligible for specialist review from routine clinical documentation

13 November 2026 (11:30 - 12:15)
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Congress Presentation Part of: Can a large language models reason like a cardiologist? Clinical Decision Support Delegates Premium Access ESC Digital & AI Summit 2026 European Society of Cardiology

About the speaker

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Mr Ronny Schweitzer

Imperial College London, London (United Kingdom of Great Britain & Northern Ireland)

6 More presentations in this session

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Replacing the people who promised to replace clinicians: autonomous AI-agents for cardiac MRI segmentation
Mr M. Seyfarth (Heidelberg, DE)
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Analysis of locally deployed open-source large language models for diagnosis extraction from CMR reports
Mr S. Amirrajab (Maastricht, NL)
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Navigating a smart cardiac MRI viewer with LLM-driven natural language control
Mr M. Vroemen (Eindhoven, NL)
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An LLM-native Wiki knowledge graph for HFpEF: structured, traceable clinical question answering in a complex cardiovascular syndrome
Miss S. Mueller (Heidelberg, DE)
Abstract Slides
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Incentivising cardiologist-like reasoning in MLLMs for interpretable echocardiographic diagnosis
Mr Y. Qin (Tseung Kwan O, HK)
Abstract Slides

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Can a large language models reason like a cardiologist?

The Event

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ESC Digital & AI Summit 2026

13 November 2026 11:30 CET
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Lilly Explore sponsored resources
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novo-nordisk Explore sponsored resources