Open Access

Cost-aware prediction (CAP): an LLM-supported machine learning pipeline for interpreting heart failure mortality predictions

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support, Other

Congress Presentation

About the speaker

Assistant Professor Yinan Yu

Chalmers University of Technology, Gothenburg (Sweden)
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6 more presentations in this session

Clinical performance and readability evaluation of large language models for patient communication in heart failure and cardiomyopathies

Speaker: Doctor C. Reich (Heidelberg, DE)

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Large language model (LLM)-based agentic artificial intelligence tool streamlines research processes in biomarker studies: a proof of concept

Speaker: Ms Y. Ye (Copenhagen, DK)

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DigiLearnHF - an LLM-enhanced digital learning program for patients with implantable defibrillators and heart failure

Speaker: Ms A. Sluha (Hannover, DE)

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Assessing the reliability of large language models for reviewing AI research in cardiac electrophysiology using the EHRA AI in EP checklist

Speaker: Ms A. Sluha (Hannover, DE)

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CARMINA: optimizing low-parameter language models for high-quality cardiovascular research assistance

Speaker: Mr J. Alvarez-Arenas (Madrid, ES)

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Access the full session

From bench to bedside: the potential roles of large language models in cardiovascular medicine

Speakers: Assistant Professor Y. Yu, Doctor C. Reich, Ms Y. Ye, Ms A. Sluha, Ms A. Sluha...
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About the event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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