ESC 365 - Federated learning to optimize coronary revascularization decisions using multi-center emergency room data: a privacy-preserving approach

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Federated learning to optimize coronary revascularization decisions using multi-center emergency room data: a privacy-preserving approach

Session: Practical applications of machine learning in clinical cardiology

Topic: Clinical Decision Support

Speaker: Professor H. Joo (Seoul, KR)

Event: ESC Digital & AI Summit 2025

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Professor Hyung Joon Joo

Korea University Anam Hospital, Seoul (Korea (Republic of))

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4 more presentations in this session

Automated identification of dilated cardiomyopathy in electronic health records using natural language processing

Speaker: Miss P. Pemmasani (London, GB)

The effect of disease phenotyping strategies when reusing electronic health record data: a case study in ischemic heart disease

Speaker: Ms C. Allaart (Utrecht, NL)

CURACO-enhanced AI inpatient heart failure tools: a pilot study on clinical confidence and patient-centred care

Speaker: Doctor I. Sooltan (Edinburgh, GB)

Practical implementation lessons from the trenches of cardiovascular decision support deployment

Speaker: Miss F. Spijkerboer (Utrecht, NL)

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Practical applications of machine learning in clinical cardiology

Speakers: Professor H. Joo, Miss P. Pemmasani, Ms C. Allaart, Doctor I. Sooltan, Miss F. Spijkerboer

About the event

ESC Digital & AI Summit 2025

21 November - 22 November 2025

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ESC 365 is supported by

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