Back
Delegates Premium Access

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

Session: Practical applications of machine learning in clinical cardiology
Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support, Other
Speaker: Miss P. Pemmasani (London, GB)
Event: ESC Digital & AI Summit 2025

Congress Presentation

Add to my library

Like

About the speaker

Miss Praveena Pemmasani

London (United Kingdom of Great Britain & Northern Ireland)
0 follower

4 more presentations in this session

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)

Access
Abstract
Slides
Like
Thumbnail

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

Speaker: Doctor I. Sooltan (Edinburgh, GB)

Access
Abstract
Slides
Like
Thumbnail

Practical implementation lessons from the trenches of cardiovascular decision support deployment

Speaker: Miss F. Spijkerboer (Utrecht, NL)

Access
Abstract
Slides
Like
Thumbnail

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

Speaker: Professor H. Joo (Seoul, KR)

Access
Abstract
Slides
Like
Thumbnail

Access the full session

Practical applications of machine learning in clinical cardiology

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

About the event

Image

ESC Digital & AI Summit 2025

21 November - 22 November 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

bristol-myers-squibb Explore sponsored resources
novartis Explore sponsored resources