Back
ESC2025 Premium Access

GPT4 reinforces historical gender bias in diagnosing cardiovascular symptoms in women

Session: Foundation models and chatbots in cardiovascular medicine: beyond ChatGPT
Topic: Large Language Model
Speaker: Ms K. Krieger (New York City, US)
Event: ESC Congress 2025

Congress Presentation

Add to my library

Like

About the speaker

Ms Katherine Krieger

New York City (United States of America)
0 follower

5 more presentations in this session

Evaluation of the performance of fully artificial intelligence generated vs human-authored abstracts at a large national cardiological congress

Speaker: Doctor K. Kresoja (Mainz, DE)

Access
Abstract
Slides
Video
Like
Thumbnail

Genetic and drug repurposing insights into hypertrophic cardiomyopathy: a machine learning approach

Speaker: Miss E. Apti (London, GB)

Access
Abstract
Slides
Video
Like
Thumbnail

Multimodal foundation model for evaluating cardiovascular disease from electrocardiography and echocardiography

Speaker: Doctor A. Nargesi (Boston, US)

Access
Abstract
Slides
Video
Like
Thumbnail

A web-based application for ACS mortality risk prediction using explainable AI and chatbot integration in the Asian population

Speaker: Professor S. Kasim (Kuala Lumpur, MY)

Access
Abstract
Slides
Video
Like
Thumbnail

Artificial intelligence driven innovative pulmonary embolism response team approach (AI-PERT)

Speaker: Doctor D. Messiha (Essen, DE)

Access
Abstract
Slides
Video
Like
Thumbnail

Access the full session

Foundation models and chatbots in cardiovascular medicine: beyond ChatGPT

Speakers: Ms K. Krieger, Doctor K. Kresoja, Miss E. Apti, Doctor A. Nargesi, Professor S. Kasim...
Access
Video
Like
Thumbnail

About the event

Image

ESC Congress 2025

29 August - 1 September 2025

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

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