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A deep-learning-based retinal cardiovascular disease biomarker and risk of stroke, myocardial infarction, atrial fibrillation, and heart failure in the UK Biobank

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Associate Professor Chan Joo Lee

Yonsei University, Seoul (Korea (Republic of))
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7 more presentations in this session

Implementing an end-to-end pathway for detection, diagnosis, and management of atrial fibrillation in the risk-stratified patients: results from the atrial fibrillation stroke prevention hub program

Speaker: Ms W. Read (Romford, GB)

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The beneficial effects of adherence to outpatient telecare intervention on clinical outcomes after an episode of acute heart failure: insights from the prospective randomised controlled AMULET trial

Speaker: Professor P. Krzesinski (Warsaw, PL)

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Digital follow-up program for patients undergoing atrial fibrillation ablation: a pilot single-center study

Speaker: Doctor M. Brandao (Vila Nova de Gaia, PT)

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Analisys of e-consults in a cardioly department. More than future.

Speaker: Mr C. Sanchez Sanchez (Malaga, ES)

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Physician-to-physician universal electronic consultation program (e-consultation) in a Cardiology Department: Impact on elapsed time to cardiology care and cardiovascular outcomes

Speaker: Doctor J. Gonzalez Juanatey (Santiago de Compostela, ES)

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Access the full session

Advancements in cardiovascular telecare

Speakers: Associate Professor C. Lee, Ms W. Read, Professor P. Krzesinski, Doctor M. Brandao, Mr C. Sanchez Sanchez...
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About the event

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ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

ESC 365 is supported by

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