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

21 November 2025 (15:10 - 15:55)
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Congress Presentation Part of: Practical applications of machine learning in clinical cardiology Hospital Information Systems, Electronic Medical Records, Clinical Decision Support, Other Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

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Miss Praveena Pemmasani

London (United Kingdom of Great Britain & Northern Ireland)

4 More presentations in this session

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The effect of disease phenotyping strategies when reusing electronic health record data: a case study in ischemic heart disease
Ms C. Allaart (Utrecht, NL)
Abstract Slides
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CURACO-enhanced AI inpatient heart failure tools: a pilot study on clinical confidence and patient-centred care
Doctor I. Sooltan (Edinburgh, GB)
Abstract Slides
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Practical implementation lessons from the trenches of cardiovascular decision support deployment
Miss F. Spijkerboer (Utrecht, NL)
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Federated learning to optimize coronary revascularization decisions using multi-center emergency room data: a privacy-preserving approach
Professor H. Joo (Seoul, KR)
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Access the full session

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Practical applications of machine learning in clinical cardiology

The Event

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ESC Digital & AI Summit 2025

21 November 2025 15:10 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources