How do current artificial intelligence chat-based large language models perform as a patient educational tool for atrial fibrillation ablation?

Back

ESC2025 Premium Access

How do current artificial intelligence chat-based large language models perform as a patient educational tool for atrial fibrillation ablation?

Session: Large language models for cardiovascular disease management

Topic: Large Language Model

Speaker: Doctor C. Hong (Los Angeles, US)

Event: ESC Congress 2025

Congress Presentation

Add to my library

About the speaker

Doctor Christin Hong

University of California, Los Angeles, Los Angeles (United States of America)

0 follower

6 more presentations in this session

A large language model agent for multimodal evaluation of cardiovascular disease

Speaker: Doctor A. Nargesi (Boston, US)

Large language models can estimate atrial fibrillation burden and infer progression without ecgs from the electronic healthcare record

Speaker: Mr S. Ruiperez-Campillo (Zurich, CH)

Towards expert-level AI-based classification of coronary angiography reports: a comparison of LLM approaches

Speaker: Mr V. Van Der Valk (Leiden, NL)

Utility of an application with augmented reality in improving perceived quality after hospital discharge: RACAR clinical trial

Speaker: Doctor B. Izquierdo Coronel (Madrid, ES)

Addressing recurrent pericarditis: assessing patient and professional education needs

Speaker: Doctor A. Klein (Cleveland, US)

Access the full session

Large language models for cardiovascular disease management

Speakers: Doctor C. Hong, Doctor A. Nargesi, Mr S. Ruiperez-Campillo, Mr V. Van Der Valk, Doctor B. Izquierdo Coronel...

Access

About the event

ESC Congress 2025

29 August - 1 September 2025

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources

Explore sponsored resources